**Company Description**\n\nShopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.\n\nAt Shopify, we build products that help entrepreneurs around the world start and grow their business. We’re the world’s fastest growing commerce platform with over 1 million merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.\n\n**Job Description**\n\nData is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. \n\nOur Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.\n\n**Responsibilities:**\n\n* Proactively identify and champion projects that solve complex problems across multiple domains\n* Partner closely with product, engineering and other business leaders to influence product and program decisions with data\n* Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business\n* Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes\n* Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products\n* Influence leadership to drive more data-informed decisions\n* Define and advance best practices within data science and product teams\n\n**Qualifications**\n\n* 4-6 years of commercial experience as a Data Scientist solving high impact business problems\n* Extensive experience with Python and software engineering fundamentals\n* Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)\n* Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders\n* Curiosity about the problem domain and an analytical approach\n* Strong sense of ownership and growth mindset\n \n**Experience with one or more:**\n\n* Deep understanding of advanced SQL techniques\n* Expertise with statistical techniques and their applications in business\n* Masterful data storytelling and strategic thinking\n* Deep understanding of dimensional modelling and scaling ETL pipelines\n* Experience launching productionized machine learning models at scale\n* Extensive domain experience in e-commerce, marketing or SaaS\n\n**Additional information**\n\nAt Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities. Please take a look at our 2019 Sustainability Report to learn more about Shopify's commitments. \n\nPlease mention the words **STOVE SIEGE FRESH** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4yMzY=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Location\nUnited States, Canada
# How do you apply?\n\nClick here to apply => https://smrtr.io/5njyK
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This job post is closed and the position is probably filled. Please do not apply. Work for Doximity and want to re-open this job? Use the edit link in the email when you posted the job!
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare.\n\nOur Insights & Solutions team is deliberate and self-reflective about the kind of team and culture that we are building, seeking analysts that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\n**How you’ll make an impact:**\n* Collaborate with a team of product managers, analysts, data scientists, and other developers to define and complete data/analytics projects\n* Leverage Doximity's extensive data sets to identify and classify behavioral patterns of medical professionals on our platform\n* Play a key role in creating both product- and client-facing analytics\n* Grow into a presentation/communication-focused role or dive deeper into more-involved technical challenges - the choice is yours\n* Learn from experienced mentors and build your technical and non-technical skill sets\n\n**What we're looking for:**\n* B.S. or M.S. with 2-4 years of experience\n* Decent knowledge of statistics and visualization\n* Fluent in SQL, analytics in Excel and creating presentations in Microsoft Powerpoint and/or Apple Keynote. These skills are an absolute must\n* Excellent problem solving skills and a strong attention to detail\n* Ability to manage time well and prioritize incoming tasks from different stakeholders\n* Fast learner; curiosity about and passion for data\n* Prior experience in creating client-facing deliverables and presentations\n\n**Fun facts about the Insights team:**\n* We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of healthcare professionals and their connections\n* The members of our team bring a diverse set of technical and cultural backgrounds\n* Business decisions at Doximity are driven by our data, analyses, and insights\n* We like to have fun - company outings, team lunches, and happy hours\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunities for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.* \n\nPlease mention the words **UNHAPPY BASE HOUR** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4yMzY=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Analyst, Microsoft, Excel and Medical jobs that are similar:\n\n
$75,000 — $120,000/year\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Inmar and want to re-open this job? Use the edit link in the email when you posted the job!
\nThe Senior Data Science Engineer position is responsible for applying machine learning, data visualization, and other data science techniques to explore and create data-driven solutions to the problems and opportunities of Inmar’s business units, working closely with application engineering teams to bring those solutions to production. This role provides thought leadership on new products and solutions and identifies viable solutions through applied research.\n\nMajor Responsibilities/Essential Functions:\n\n\n\n* Use data science techniques and tools to explore and create solutions\n\n* Identify, extract, clean, and transform data\n\n* Work with business units and others to understand the problem space and challenges\n\n* Work with application engineering teams to bring solutions to production\n\n* Publicize results and findings via reports, presentations, and technical specifications\n\n* Keep skills and knowledge up-to-date\n\n\n\n\nEducation:\n\n\n* Required: Bachelor’s degree in Computer Science, Statistics, or any field with an applied quantitative and experimentation focus\n\n* Preferred: Masters or PhD in a quantitative and experimentation focused field\n\n\n\n\nRequired Qualifications:\n\n\n\n* Extensive experience with machine learning, data visualization, and other data science techniques using Python, R, Scala, or other languages\n\n* In-depth experience with database systems, both SQL and NoSQL, including Hadoop-based systems\n\n* In-depth experience with software development (scripting, programming, versioning, testing, deploying, etc.) on Linux and Microsoft platforms\n\n* In-depth experience with data processing, extraction, cleansing, and transformation\n\n* Experienced at preparing reports and giving presentations for technical and non-technical audiences\n\n* Self-directed and curious, but must be able to function well as part of a team\n\n* Good understanding of the scientific method\n\n* Constant learner\n\n\n\n\nPreferred Qualifications:\n\n\n* Experience with the SCRUM/Agile process\n\n* Experience with Tableau or other data visualization dashboard tools\n\n* Experience with Ansible and other deployment automation tools\n\n* Experience with cloud-based platforms, such as Azure\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 Data Science, Senior, Engineer, Microsoft and Linux jobs that are similar:\n\n
$70,000 — $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
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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