\nAt Fullscript, we’re not just changing healthcare—we’re making it whole.\n\n\nWe help 100,000+ healthcare practitioners support 10 million patients with a platform that delivers evidence-based health solutions, diagnostic support, and practitioner tools—all in one place.\n\n\nHealthcare today is disconnected. We’re fixing that. Fullscript makes it easier for practitioners to treat the whole person, not just symptoms, so patients get the support they need—when they need it.\n\n\nWe’re building a better way—one where healthcare is connected, complete, and built for impact.\n\n\n\n\n📊 BUILD DATA. DRIVE INSIGHTS. IMPACT HEALTHCARE.\n\n\nWe’re seeking a Senior Data Analytics Engineer for our Data Commercial team. The Data team is both a support function and strategic partner at Fullscript and will continue to be a key area of business value going forward. Data is used to drive effective decision-making and growth through opportunity analysis, experiment design and iteration,, and building dynamic experiences for our customers. We are investing heavily in the coming years to make data more accessible to our internal teams and to leverage it within our application to provide our practitioners and patients with data-driven tools and experiences.\n\n\nAs the Senior Data Analytics Engineer, you will be building the data platform that powers our decision-making and growth. This same platform also provides key insights about our practitioners and their patients through analytics and advanced metrics.\n\n\n\nWhat you'll do: \n* Work cross-functionally to help maintain, build and deploy a Commercial data warehouse to serve reporting, analytical, and self-service needs for key Fullscript stakeholders\n* Work with your leader and team to collaborate on initiatives across functions such as Analytics, Commercial, and RevOps to understand and improve their data\n* Write data transformation code in ELT pipelines to integrate that data into our data warehouse for consumption by the reporting and data analytics functions\n* Mentor and provide technical guidance to junior members of the data engineering team\n* Work with other data engineers to create and populate the data models for downstream consumption, and write the necessary tests to ensure data quality\n* Apply advanced data engineering techniques to optimize performance and scalability of data pipelines\n* Leverage AI and machine learning to build models that are responsive to business requirements and enable the delivery of streamlined, dynamic experiences for customers\n* Apply version control, testing and continuous integration (CI) in the data transformation code\n* Create and maintain data documentation and definitions\n\n\n\nWhat you bring to the table: \n* 5+ years in Data Analytics and/or Data Engineering position as part of ETL/ELT process or data insights development\n* Strong proficiency with SQL and experience using Python for data transformation\n* Experience working with dbt (data build tool)\n* Experience working with Cloud Data warehouses like Snowflake, BigQuery, Redshift and RDBMS (PostgreSQL, MySQL)\n* Hands-on experience with data modeling, schema design, and optimization techniques\n* Proven track record of implementing and maintaining data transformation pipelines using tools like dbt (data build tool), Argo, Airflow, or similar workflow orchestration tools\n* Deep understanding of data engineering best practices, including version control, testing, and CI/CD methodologies\n* Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders\n* Continuous learning mindset with a keen interest in exploring new technologies and methodologies in the data engineering space\n\n\n\nBonus qualifications: \n* Experience with DevOps practices and tools for automated deployment and infrastructure management\n* Practical experience building and deploying data models that leverage AI and machine learning (using Azure, AWS, Snowflake, etc.)\n* Familiarity with machine learning concepts and frameworks for implementing predictive analytics solutions\n* Previous experience in a leadership or mentorship role within a data engineering team\n* Write us a cover letter explaining why data engineering is of special interest to you\n\n\n\nWhat we can offer you:\n* Generous PTO and competitive pay \n* Fullscript’s RRSP match program for financial health \n* Flexible benefits package and workplace wellness program\n* Training budget and company-wide learning initiatives \n* Discount on Fullscript catalog of products \n* Ability to work Wherever You Work Well*\n\n\n\n\n\n\nWhy Fullscript?\n\n\nGreat work happens when people are supported, challenged, and inspired. Here, you’ll be part of a team that:\n\n\n⬦ Values innovation—we push boundaries and always look for better ways.\n⬦ Supports growth—through learning, mentorship, and meaningful work.\n⬦ Cares about balance—with flexible work options and time off when you need it.\n\n\n📌 Apply now—let’s build the future of healthcare, together.\n\n\nFullscript is an equal-opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request—email [email protected] for support.\n\n\nBefore joining the team, all candidates who receive and accept an offer will complete a background check.\n\n\n🚀 MORE INFO: www.fullscript.com | www.rupahealth.com | Follow us on social media @fullscriptHQ\n🔥 IN THE NEWS: Fullscript acquires Rupa Health\n📺Let’s make healthcare whole \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, DevOps, Cloud, Senior, Junior and Engineer jobs that are similar:\n\n $67,500 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nJoin our small, fiery team on a mission to usher in the Bitcoin golden age.\n\nAbout Shakepay\n\nShakepay is reimagining financial services to give every Canadian their fair shake, by making it bitcoin-friendly, secure, and rewarding. When Shakepay launched in 2015, it quickly became one of Canada’s fastest-growing financial institutions. Backed by top venture funds having raised $44M+ and trusted by over one million Canadians and counting. People who choose careers at Shakepay are helping shape a future of financial freedom, opportunity, and prosperity for all Canadians.\n\nHead of Data\n\nAs the Head of Data, your role is pivotal at Shakepay. You will be responsible for managing and implementing our data program and strategy as a whole. You’ll work with our executive and product teams to develop the priorities of the business and ensure our data platform and engineering teams understand what needs to be built to support those goals. You’ll lead our data scientists to produce internal data products that make problems and opportunities legible to all stakeholders, and customer facing data products that deliver real value and personalized experiences.\n\nYou will\n\n\n* Lead the execution of a comprehensive data analytics strategy aligned with business objectives\n\n* Build a data science function to support decision-making and influence the company strategy and product roadmaps\n\n* Manage and mentor our data team, and cultivate a culture of high performance\n\n* Implement Shakepay’s framework for automated decision making, risk detection and fraud prevention\n\n* Partner with cross-functional teams to prioritize deep-dives on key business questions\n\n* Evangelize a data-driven culture across the organization\n\n\n\n\nMust have\n\n\n* 5+ years of experience leading a data team \n\n* 7+ years of experience working on consumer facing products \n\n* Experience leading and building high-performing teams\n\n* Outstanding written and verbal communication skills. Ability to distill nuanced statistical findings accurately to a business audience is critical\n\n* Technical proficiency in one of Python or R in a data science context and SQL\n\n* Experience in experiment & A/B/n test design and analysis\n\n* Experience conducting deep-dive statistical analysis (modeling, causality, regression, etc.)\n\n* A demonstrated ability to manage and deliver on multiple projects with cross-functional teams and a high attention to detail\n\n* Experience communicating both in low-level technical details as well as high-level strategies\n\n* Knowledge of effective data visualization principles, tools and techniques\n\n* Some familiarity with dbt (our data transformation tool)\n\n\n\n\nNice to have\n\n\n* Experience with experimentation platforms like Statsig, Optimizely, Kameleoon, or others \n\n* Startup experience is a big plus, bonus points for B2C fintech experience\n\n* Experience in credit risk modeling, strategy, monitoring and forecasting\n\n* Experience working with cloud data warehouses (we use Snowflake)\n\n* Knowledge of bitcoin\n\n\n\n\nWhy join? \n\n\n* Be part of a groundbreaking journey: you'll live on the frontier of financial innovation. Bitcoin is rewriting the rules, and Shakepay is at the forefront.\n\n* Impact and scale: with only 2% of Canadians on Shakepay, the potential for growth is massive. You can help us bring Shakepay and bitcoin to all Canadians.\n\n* Rewarding benefits: we offer competitive compensation (every shaker owns stock options), benefits (health, dental, paramedical, disability, etc), and generous vacation time.\n\n* Embrace continuous learning: ambitious individuals with an insatiable thirst for knowledge will feel at home. Working at Shakepay means you'll be working in an environment that encourages constant growth and development.\n\n* Get paid in bitcoin: choose to take a percentage of your salary in the hardest, soundest money the world has ever known.\n\n* Work remote: work from anywhere in Canada. If you're in Montreal or Toronto, you can also work from our offices.\n\n\n\n\nWe understand that potential can be just as valuable as experience. If you're eager to learn, grow, and contribute to the mission but worry that you may not have the “right” experience, we still want you to apply. We encourage applications from everyone, regardless of background and life experience. We’re firm believers that a little bit of slope makes up for a lot of y-intercept.\n\nFluency in English is required due to the percentage of English-speaking customers and the nature of our platform, which is available to all Canadians. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Bitcoin, Python and Cloud jobs that are similar:\n\n $50,000 — $82,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nMontreal, Quebec, Canada

\nThe growing Match Group Central Platforms team is looking for an analyst to work cross-functionally with the Match Group organization, and our portfolio of brands, to help identify, understand, and improve business, operations, and product challenges. Reporting to the Director of Product, the Senior Data Analyst will deliver high-quality strategic and tactical analysis; collaborating with the product, engineering, data science, business intelligence, member experience and operations teams. \n\n\nKnow where you belong. Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Match, Hinge, Plenty of Fish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.\n\n\nWe are flexible and offer full remote or hybrid working models as options to accommodate our team. Match Group is headquartered in Dallas, TX, with offices in LA, Palo Alto, and New York. \n\n\n\n\n\nIn this role you will: \n* Own defining, tracking, and monitoring business KPIs for the Central Platforms Product team.\n* Partner with product managers to create hypotheses, define quantitative goals, and design experiments for roadmap projects\n* Partner with engineering to improve data collection through data infrastructure design, data pipelining, and warehousing solutions\n* Collaborate with cross-functional teams, including business stakeholders, developers, and data engineers, to identify data requirements, gather feedback, design and implement solutions.\n* Conduct exploratory data analysis to discover patterns and insights to inform future strategy. \n* Gather, compile, and extract meaningful insights from complex datasets, using statistical techniques and machine learning algorithms when applicable.\n* Summarize and evangelize your findings across the company; providing Executives, Product Managers, Engineering teams, and other Data Analysts with deep-dive quantitative analyses in an immediately usable format, extracting key insights from extensive, complex data sets\n* Proactively find opportunities to take analytics framework into the next level and lead stakeholders to adopt new frameworks and methodologies\n* Take ownership of ambiguous and complex analytical assignments\n\n\n\nWe could be a Match if you have: \n* 5+ years of progressive experience using quantitative analysis to make business-focused recommendations\n* 3+ years of analytics experience working directly with product managers or embedded within a product team\n* Experience with data warehousing, data pipelining solutions a plus\n* Familiarity with machine learning concepts and algorithms\n* Proven technical data analytics skills in working with large amounts of data at different levels of aggregation, from raw telemetry to metric stores. \n* Working knowledge of trust and safety analytics metrics (fraud signals, bad actor patterns, etc.)\n* Strong understanding of incrementally as well as sizing business problems and opportunities\n* Understanding of basic statistical concepts such as confidence interval, normal distribution, correlation, linear regression, and multivariate testing\n* Strong communication skills at different levels of organizational hierarchy\n* Proactive skill set that encompasses problem identification, analysis, solution definition, results, and communication\n* Proficiency with SQL, R and Python (or equivalent)\n* In depth experience with data visualization and analytical tools (E.g. Tableau, Power BI, Looker)\n\n\n\n\n$118,000 - $141,500 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, CA. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.\n\n#LI-CENTRAL\n\n\n#LI-REMOTE\n\n\n#LI-CH1\n\n\nWhy Match Group?\n\n\nOur mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: \n\n\nMind & Body – Medical, mental health, and wellness benefits to support your overall health and well-being\nFinancial Wellness – Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security\nUnplug – Generous PTO and 18 paid holidays so you can unplug\nCareer – Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work\nFamily – Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts  \nCompany Gatherings – We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging!\n\n\nWe are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic.  Period. \n\n\nIf you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact [email protected]. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Embedded, Python and Senior jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nAbout the team:\n\nAt Aspire, Finance plays a strategic role in driving our business forward. Our Finance team consists of a wide range of crucial functions across 4 verticals: (i) Traditional Finance with Accounting, Tax, Reporting, (ii) Treasury, which is a core function for a Fintech, (iii) Data including Business Intelligence, Data Analytics and Data Engineering and (iv) Strategy & Planning, which covers strategic road map, long term planning, fundraising and FP&A. Our Finance team engages in frequent strategic data analysis, research, and modeling to provide the best financial insights for critical business decisions, helping Aspire navigate the competitive landscape and capitalize on emerging opportunities. The team also plays a key part as the first user of our Aspire software, pioneer in Finance transformation, reengineering our internal process to stay agile while maintaining the internal control in a hyper fast growing environment.\n\nAbout the role:\n\nAt Aspire, we pride ourselves on building an amazing team. We require a Business Intelligence Intern to join our very talented lineup.\n\nAs a Business Intelligence Intern, you will be involved in helping develop scalable processes & grow the company operations. The right person takes initiative, likes to learn & deals with integrity. This is a great opportunity for someone wanting to work to make a difference to your community with talented & motivated team members in a diverse, energetic workplace; and a company dedicated to your success, growth and advancement.\n\n\n* Build dashboards, identify new and track key metrics to closely monitor team’s performance and identify quick and long term opportunities for improvements\n\n* Support business performance evaluation to internal and external parties \n\n* Translate business needs to technical specifications\n\n* Design, build and deploy BI solutions\n\n* Own up the visual storytelling of the data, the ability to mine business insights from data and transform insights into action plans\n\n* Maintain and support data analytics platforms\n\n* Evaluate and improve existing BI systems\n\n* Support ad-hoc data requests from various teams and assist in building necessary dashboards\n\n* Automate reports by optimizing the data query process\n\n* Ensure metrics and definitions are aligned across the organization\n\n\n\n\nMinimum Qualifications:\n\n\n* Major in Business, Finance, Analytics or Technology\n\n* Mandatory SQL knowledge to create scripts for data warehouse\n\n* Experience in any business intelligence tool, Tableau preferred, for data visualization and dashboard creation\n\n* Proficient in Excel, google sheets and creating complex reports with ease\n\n* Experience in Python with statistical knowledge in using packages such as scikit-learn, matplotlib, seaborn, pandas and NumPy for analyzing datasets\n\n\n\n\n\n\nPreferred Qualifications\n\n\n* Structured, and critical and analytical thinking\n\n* Effective planning, organizational and communication skills\n\n* Able to work independently and with minimal supervision\n\n* Ability to work under pressure in a fast-paced and rapidly changing environment\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python and Finance jobs that are similar:\n\n $70,000 — $130,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew Delhi, Delhi, India

\nBuild and support self-serve tools for data exploration and analysis. Create and maintain data pipelines that enrich the data lake, data warehouse and drive critical business reports. Ensure data pipelines are robust and fault tolerant in order to have accurate data delivered in a timely manner. Build and maintain data models used by data consumers. Encourage software engineering best practices on the Analytics Engineering team. Coordinate and support data requests. Scale existing software system to meet the extraordinary application demand. Work in a cross-functional team to ensure data quality for all data consumers. Develop testing framework for data products. Build relationships with data consumers in order to ensure data quality across the organization. Analyze user needs and software requirements to determine feasibility of design within time and cost constraints. Lead new initiatives from conception to delivery to bring new features to the Analytics Platform. Work with leadership to identify opportunities that drive business value. Conduct performance tuning, troubleshooting and optimization of data solutions to improve system performance and stability. Stay current with industry trends and technologies and find ways to incorporate them into the Analytics Platform. Be a mentor and resource for colleagues. Position allows telecommuting from anywhere in the U.S. Salary: $139,464 - $191,500 per year. \n \nMinimum Requirements: Bachelor’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, or a related field plus 5 years of professional experience as Application developer, software developer or any occupation/position/job title involving analytics software engineering. In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, or a related field, plus 3 years of professional experience as Application developer, software developer or any occupation/position/job title involving analytics software engineering. Must also have experience in the following: 3 years of professional experience performing analytic software engineering (including planning, analyzing, designing, developing, implementing, testing and maintaining software systems or applications); 3 years of professional experience with data modeling and data warehousing concepts; 2 years of professional experience with SQL, including optimizing queries against large data sets on a petabyte scale; 2 years of professional experience with Python 3.x; 2 years of professional experience using big data technologies including Spark, Databricks EMR, Snowflake, Hive, Hudi, Delta, or Hadoop; and 2 years of professional experience writing ETL data workflows.\n \nPlease email resume to: [email protected]. Please specify ad code HDLL\n\n\n\n\n$139,464 - $191,500 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered.\n\nWhy Match Group?\n\n\nOur mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: \n\n\nMind & Body – Medical, mental health, and wellness benefits to support your overall health and well-being\nFinancial Wellness – Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security\nUnplug – Generous PTO and 18 paid holidays so you can unplug\nCareer – Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work\nFamily – Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts  \nCompany Gatherings – We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging!\n\n\nWe are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic.  Period. \n\n\nIf you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact [email protected]. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, Senior and Engineer jobs that are similar:\n\n $50,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nDallas, Texas

\nBiobot, a leader in wastewater-based epidemiology, is seeking a new team member for the Data Science Team. As a Quantitative Epidemiologist, you will identify and tackle the most important analytical problems and questions arising from wastewater data, with an emphasis on how we transform this novel stream of information into actionable insights that can be used to improve human health. Ideal candidates will have experience using advanced analytical methodologies to develop epidemiological models, implementing these models reliably in a production environment, and deploying them using one or more modern cloud compute frameworks.\n\n\n\nEssential Duties and Responsibilities (What you will be doing): \n* Work with our Product team and customers to identify the most important analytical problems in substance use and infectious disease wastewater based epidemiology.\n* Propose and scope multiple candidate approaches to solve these problems including the application of both existing epidemiology methods and novel alternatives.\n* Rank these candidates and choose an approach considering not only the primary question to be answered, but also model complexity, interpretation, and scalability.\n* Rapidly prototype and share your work with the broader Data Science group and Product organization soliciting feedback and building team-wide conviction about results and their implications.  You will also be expected to provide constructive feedback to others.\n* Manage your code in Gitlab and create detailed documentation of both code and results.\n* Collaborate closely with our Software Engineering team to create a final production version of any feature chosen for launch and deploy it within our preferred compute framework (AWS, Snowflake, Snowpark, dbt).\n* Partner with our Product and Marketing teams to create customer facing technical documentation and product collateral.\n* Occasionally participate in calls with customers requiring more technical support.\n* Collaborate effectively with scientists and non-scientists, inside and outside the Data Science group and share your specific skills and expertise with the team.\n* Work independently and prioritize among multiple important tasks.\n* Be a flexible team player prioritizing company success.\n\n\n\nEducation and/or Work Experience Requirements (What you need to succeed): \n* PhD, or comparable combination of education and experience, in Epidemiology, Health Sciences, Data Science, Biostatistics, Bioengineering, or a related field\n* 5+ years experience developing advanced analytical models to solve problems in Epidemiology, Public Health, or a related space\n* Strong preference for candidates with recent tech/biotech industry experience developing and delivering data- or analytics-based products\n* Expertise in statistical, analytical, and data science methods, including advanced regression, bootstrapping, nonparametric statistics, simulation, Frequentist or Bayesian modeling, and compartmental or agent-based modeling\n* Mastery of Python including advanced analytical libraries/tools (e.g. NumPy, Matplotlib, pandas, scikit learn, PyTorch)\n* Proficiency in modern software development tools, patterns and concepts including version control (git), cloud computing (AWS), CI/CD, test-driven development, containerization and model deployment\n* Willingness to develop deeper expertise in both Infectious Disease Epidemiology and Substance Use Epidemiology\n* Willingness to share your technical expertise with your colleagues to support their success\n* Ability to communicate the health and business implications of complex features and one-off analyses to non-scientific audiences\n\n\n\nEducation and/or Work Experience Bonuses (What will help you succeed): \n* Experience with R\n* Expertise in Infectious Disease Epidemiology or Substance Use Epidemiology\n* Expertise in addressing bias and confounding in epidemiological analyses\n* Experience with our assay platforms -- qPCR, ddPCR, LCMS, NGS\n* Expertise in Public Health, such as work experience in state or local DPHs\n* Experience in Environmental Health or wastewater systems\n* Interest in mentoring or managing other data scientists\n\n\n\nPhysical Requirements and Special Demands: \n* Standing or sitting for several hours at a time\n* Listening and speaking clearly on video conferencing for several hours a day\n\n\n\n\n\nCompensation Information: \nWe welcome applications from a diverse range of candidates, spanning from Senior Data Scientist to Staff Data Scientist levels.   Compensation will be determined based on the candidate's experience, skills, and qualifications. \n\n\nThe salary range for this position varies based on level, with the Senior Data Scientist band ranging from $115,000 - $140,000 and the Staff Data Scientist band ranging from $140,000 - $170,000, depending on prior work experience. These ranges represent the low and high end of the anticipated base salary range for this position.\n\n\nActual base salary will depend on numerous factors such as: total experience, applicable knowledge and relevant skills. Final salary will be commensurate with the candidate’s leveling upon offer.\n\n\nPlease see below for more information about Biobot, including our benefits overview, company background, and employment eligibility requirements. \n \nEmployment Eligibility\nWe are unable to sponsor work visas at this time. \nAdditionally, we are currently only accepting applicants from the states listed below. You will be asked to confirm your location in your application to help us determine your eligibility for this position. \nAlabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Louisiana, Massachusetts, Maryland, Michigan, Minnesota, Missouri, North Carolina, New Hampshire, New York, New Jersey, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Washington, Wisconsin\n\n\nOur Benefits\n\n\nHealth Coverage \nFree medical, dental, and vision insurance for employees and their families, including a $0 deductible medical plan. We want our employees to manage their health and that of their families without worrying about high premiums or deductibles.\n\n\nSelf Care\nUnlimited PTO with 3 week minimum. Whether it's playing MTG or D&D, singing on stage, camping, raising chickens, or anything else that inspires, we want our employees to unplug and explore their passions.\n\n\nBiobabies\n12 weeks parental leave at 100% pay. We love Biobabies and know that bonding with a new child is a critical need for employees and Biobabies alike.\n\n\nSavings\n3% Biobot 401k contribution. Regardless of whether our employees contribute, we contribute 3% of salaries into participating employees' 401k accounts because we want to support their long-term financial goals.\n\n\nWorkspace\nOnsite or at home, we ensure our employees' workspace is set up for success through generous home office stipend for remote employees, free parking or commuter benefits and on-site meals for lab employees.\n\n\n\n\nAbout Biobot \n\n\nAt Biobot, we are working together to build a team environment in which everyone can thrive and is proud to belong. We are an equal opportunity employer and our goal is to be a diverse team that is representative, at all job levels, of the society we live in. We encourage applications from candidates of all identities and backgrounds, including those who are traditionally underrepresented in technology startups.\n\n\nOur mission is to transform wastewater infrastructure into public health observatories. \n\n\nNamed as one of Fast Company’s most innovative companies in the world in 2021, Biobot Analytics is a wastewater epidemiology company and uses technology developed at MIT to measure biomarkers in sewage to better understand population health in cities. We first launched an opioid product to support government and public health officials in responding to the opioid epidemic, and in 2020 launched a Covid19 product to estimate the scope and trend of the outbreak in communities. We have operated in almost 500 communities across 43 U.S. states, generating Covid19 case estimates for over 13% of the U.S. population.\n\n\nBattling the opioid epidemic and now the Covid19 pandemic is just the beginning - we’re transforming sewage into a data asset and building a public health database. Eventually, Biobot data will be an early warning system for disease outbreaks, a map of nutrition disparities, and more. Headquartered in the Boston area with an office in NYC, we aim to create the bedrock of human health infrastructure and smart cities in countries across all six continents.\n \nPlease visit our website at www.biobot.io \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Video, Education, Cloud, Senior and Marketing jobs that are similar:\n\n $52,500 — $85,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRemote

\nYour career is an investment that grows over time!\n\n\nWealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing, opaque and expensive and make them transparent and low-cost for everyone. We’re the largest fintech company in Canada, with over 3 million users who trust us with more than $20 billion in assets.\n\n\nOur teams ship often and make an impact with groundbreaking ideas. We're looking for talented people who keep it simple and value collaboration and humility as we continue to create inclusive and high-performing teams where people can be inspired to do their best work.\n\n\nAbout the team\n\n\nOur Data Science team is responsible for enabling data-driven decision making and building data products at Wealthsimple. We are building a high quality and scalable state-of-the-art data warehouse that powers all decision making, leveraging machine learning and algorithms to help Wealthsimple build smarter financial products, and using decision science to understand the cause and effect of our business decisions. \n\n\nJoining the team, you will partner with product managers in the Investing domain to drive decision making at the heart of our business. Your work will have an immediate impact for our customers by influencing the product direction across Stocks, Options, Private Credit, and Managed Investing.\n\n\n\nIn this role, you will have the opportunity to:\n* Partner with our Investing Product team to work on some of Wealthsimple’s highest priority efforts\n* Build robust, efficient, and integrated data models in our cloud data warehouse that will be used as the source of truth for analytics across the Investing product organization\n* Apply statistical techniques and build machine learning models to solve real life product problems and to inform product decisions and strategies\n* Apply software engineering best practices like version control and continuous integration to the analytics code base; ensure data models are well tested, documented and maintained\n* Translate business requirements into data models and analysis that will help stakeholders answer key business questions and inform strategic decisions\n* Continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friend\n* Take ownership and ship it\n* Work where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada!)\n\n\n\nSkills we are looking for:\n* Strong business acumen and product sense with the ability to help drive strategic vision as a Senior Data Scientist\n* Excellent Python & SQL skills, 5+ years of first hand experience working with popular Python libraries such as Pandas, scikit-learn, numpy and Jupyter\n* Strong understanding of statistics: both frequentist and Bayesian approaches\n* Strong understanding of fundamental machine-learning algorithms: regression and decision trees\n\n\n\nWe are looking for someone who:\n* Is able to articulate their stance in a manner that effectively communicates why a solution could be the best way forward\n* Adjusts quickly to changing priorities and effectively manages complexity and change\n* Has exceptional communication skills and is able to communicate effectively to both technical and non-technical teams\n* Plans, organizes, schedules, and budgets in an efficient, productive manner\n* Is eager to teach and learn from your team. We value making each other successful!\n* Is a lifelong learner. You’re constantly seeking and welcoming feedback to continue improving yourself and your craft\n\n\n\n\n\nWhy Wealthsimple?\n🤑 Competitive Salary with top-tier health benefits and life insurance\n📈 Retirement savings matching plan using Wealthsimple Work\n🌴 20 vacation days per year and unlimited sick and mental health days\n📚 Up to $1500 per year towards wellness and professional development budgets respectively \n🛫 90 days away program: Employees can work internationally in eligible countries for up to 90 days per calendar year \n🌎 A wide variety of peer and company-led Employee Resource Groups (ie. Rainbow, Women of Wealthsimple, Black @ WS) \n💖 Company-wide wellness days off scheduled throughout the year\n\n\nWe’re a remote-first team, with over 1000 employees coast to coast in North America. Be a part of our Canadian success story and help shape the financial future of millions — join us!\n\n\nRead our Culture Manual and learn more about how we work.\n\n\nDEI Statement\nAt Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. \n\n\nAccessibility Statement\nWealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know, and we will work with you to provide the necessary support and make reasonable accommodations to facilitate your participation. We are continuously working to improve our accessibility practices and welcome any feedback or suggestions on how we can better accommodate candidates with accessibility needs. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Cloud and Senior jobs that are similar:\n\n $45,000 — $80,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nCanada

YOUR TEAM\n\nThe mission of the Data Organization within Nuna is to empower industry-wide value-based care adoption by leveraging data-driven insights for the enhancement of value-based payment operations, population management, decision making, and patient outcomes in an efficient, secure, and ethical manner. The primary objective of the Data Organization is to harness healthcare data to support and promote value-based care contracts between health systems, providers, health plans, and other third-party risk bearing entities; incentivize quality, utilization, and experience outcomes; and enhance payment operations with both services and product development.\n\nThe Health Data Analytics team is accountable for both performing analysis to drive client and product success as well as codifying complex value-based care concepts via scalable programming. In this role, you’ll have the opportunity to form deep partnerships with a cross-functional team in order to drive product development and program implementation through data expertise and analysis.  \n\nHealth Data Analysts provide thought leadership to product managers and influence Nuna’s product roadmap with a focus on analytics methodology, tooling maturity and scalable healthcare solutions. They are responsible for the design and deployment of reusable healthcare-based logic in support of accurate and scalable value-based payment solutions.   \nYOUR OPPORTUNITIES\n\n\n* Partner with engineering teams and operations to implement client program logic into code and configurations  \n\n* Collaborate with product, client management, engineering teams and the client to verify and validate Nuna’s implementation\n\n* Collaborate with Product Managers, Engineering, and Design to identify and design new ways to extend Nuna’s products to better serve customer needs\n\n* Develop metrics and analytical approaches to drive value-based healthcare solutions\n\n\n\nQUALIFICATIONS\nRequired Qualifications\n\n\n* Bachelor’s degree or above in quantitative or engineering fields (Statistics, Economics, Mathematics, Health/Medical Informatics, Computer Science, or similar)\n\n* 3+ years of experience working with healthcare data paired with a passion to connect with, understand, and shape the healthcare industry \n\n* Strong oral and written communication skills\n\n* Keen attention to detail\n\n* Deadline driven\n\n* Proficiency in SQL\n\n* Experience with statistical and analytical methods\n\n\n\nPreferred Qualifications\n\n\n* Experience with value-driven payment arrangements, healthcare financial models, or provider quality measurement strategies\n\n* Experience working with healthcare plans or providers\n\n* Client-facing experience\n\n* Experience with programming languages such as Python or equivalent\n\n* Experience with DBT, Databrick, Snowflake, and AWS\n\n* Experience with unit tests and data quality\n\n\n\n\nWe take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance, life insurance, retirement benefits, participation in the company’s equity program, paid time off, including vacation and sick leave. The expected salary range for this position is $110,000 to $150,000. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, and skillset. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design and Python jobs that are similar:\n\n $50,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States