Remote Data Science + Executive + Leader Jobs

Are you excited about building a team that’s laser focused on guiding customers (from the world’s largest brands to “mom-and-pop” sellers) in their most critical business decisions by leveraging one of the largest ecommerce data sets in the world? \n\nDo you get excited about building systems that process over 30 TB of raw data per day? \n\nAre you passionate about building cloud-native data systems that empower data scientists to build and deploy business critical machine learning models at scale?\n\nAmazing, then you’re the type of person we’re looking for!\n\nJungle Scout just raised $110M and we’re growing rapidly. We’re looking for a passionate engineering leader to join us during our most exciting phase of growth that will lead our Data Services group, focused on building cloud-native data systems that empower the entire engineering organization to build data-driven applications and predictive machine learning models.\n\nThis is a special opportunity and we’re looking for a special person. We move really fast and expect our leaders to not just keep up, but to set the pace. We do things differently. We have zero time for politics and look for the best ideas regardless of their source. We love the fact that each day is a little unpredictable and we revel in the ambiguity. We’re remote-first and committed to hiring the best talent anywhere in the world. We’re grateful to be working in a rapidly changing space and find joy in solving customer problems together as they arise.\n\n**In your first year you will:**\n\n* Drive vision and strategy for building Jungle Scout’s Data Infrastructure team and charter, which is at the foundation of Jungle Scout’s overall business strategy and competitive advantage\n* Build, manage, and lead data science teams that are solving Jungle Scout’s most complex business problems\n* Collaborate with data science teams and engineering leaders to build data systems that are at the foundation of Jungle Scout’s customer applications\n* Build a cloud-native Data Lake that makes critical data available to entire engineering organization through a variety of interfaces and technologies\n* Lead the business strategy and vision for widening Jungle Scout’s “data moat”, which delivers industry leading data analytics and automation for the world’s largest ecommerce retailers\n* Build an organization that provides thought leadership to ensure Jungle Scout is leading the industry with proprietary data sources and data insights, delivering unprecedented value for customers\n* Attract top talent and retain your managers and engineers through effective coaching and career growth\n\nInterested in learning more? Let’s get into the details:\n\n**What you’ll be doing:**\n\n* Cloud-native data architecture. Experience building scalable cloud based data systems that scale seamlessly to support the world’s largest brands.\n* Passion for complex data systems. Ability to build complex data systems that collect, integration, analyze, and aggregate data from many disparate sources.\n* Empower advanced data analytics. Self-starter with a passion for empowering applied mathematicians to build predictive models that leverage data to provide revolutionary insights for customers.\n * Experience with industry leading data technologies. Passionate about keeping on the cutting edge of the latest data technologies including stream data processing, Spark, Hive catalogs, and more.\n* Provide data leadership. Help define how we collect, process and expose the data we collect to both internal and external customers.\n* Lead and develop teams. Provide clear direction, define success and enable your managers, leads and individual contributors to do their best work. \n* Collaborate. Communicate and collaborate with other engineering leaders to improve the engineering organization. \n* Manage Relationships. Manage relationships and partnerships with our key data providers and work with external agencies to help increase the rate at which we collect, process and enable data.\n\n**Who you are:**\n\n* Operational excellence. Your core responsibility is operational excellence and oversight on the roadmaps for the teams you work with, empowering all of your team leads, and helping make faster decisions on staffing, budgeting, prioritization, personnel management, etc.\n* A multiplier. You're able to multiply your effectiveness by guiding and influencing your team leads to maximize their productivity and impact.\n* Collaborator and communicator. You excel at managing projects across different teams. You're able to prioritize and manage dependencies and expectations of multiple stakeholders effectively and efficiently.\n* An engineer at heart. Although you won’t be judged on your coding ability you will be regularly involved in system design conversations so a background in software development is required. \n* A visionary. We’re still just getting started so you have the opportunity to shape our data strategy as we continue to grow.\n\n**Working at Jungle Scout**\nhttps://www.junglescout.com/jobs/ \n* The BEST team. \n* Remote-first culture.\n* International Retreats.\n* Access to Jungle Scout tools & experts.\n* Performance Bonus. \n* Flexible Vacation.\n* Comprehensive Health Benefits & Retirement Program (US and Canada) \n\n**We prioritize Diversity, Equity, and Inclusion \n**\nAt Jungle Scout, we hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger. \n\nJungle Scout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\n*All offers of employment at Jungle Scout are contingent upon clear results of a comprehensive background check. Background checks will be conducted on all final candidates prior to start date.* \n\nPlease mention the words **CUPBOARD SCHEME MODIFY** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDA=). 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 $100,000 — $200,000/year\n \n\n#Location\nNorth America and South America

\nYour Role\nYou will be responsible for research and development of intelligence behind document structure understanding solutions as part of IHS Markit products. Your role is needed to design and implement intelligent content understanding pipelines from raw document to a structured knowledge.\n\nYour duties will include:\n\n\n* Technically lead the team of data scientists and ML engineers to develop production ready components based on recent SOTA approaches for CV and NLP\n\n* Hands-on researching, prototyping and building content understanding pipelines and working models as their components, including state of art neural architectures in combined Computer Vision and Natural Language Processing domains – data augmentation, model selection, pre-training, optimization, etc.\n\n* Converting business problems to data science tasks collaborating with Product and Project managers\n\n* Defining and/or influencing the strategy of research-intensive projects, including goal metrics, development process, toolsets and communications for optimal progress\n\n* Hunting for quality datasets, including driving the development of datasets from scratch\n\n* Learning and sharing new things around ML/DL for CV and NLP to keep the AI team on the cutting edge\n\n\n\n\nAbout You\nYou are a data scientist/deep learning engineer experienced in building the working intelligent solutions related to analysis of unstructured content, who is motivated by complex and fuzzy challenges. Your required qualifications and experience include:\n\n\n* Degree in data science, math & computer science, statistics or related field\n\n* 4+ years of professional experience in data science and deep learning with application to Computer Vision and/or Natural Language Processing\n\n* Soft skills of a technical leader for the team (communication, engagement, patience, motivation, integrity)\n\n* Strong programming skills in Python with engineering\n\n* Strong practical experience in building of own DL models with TensorFlow, Keras and/or PyTorch, etc.\n\n* Developed skills in algorithms and data structures\n\n* Solid understanding of statistics and math behind deep learning\n\n* English language (B1+)\n\n\n\n\nThe following will hugely increase our interest:\n\n\n* Application of Computer Vision to Document Understanding (OCR, object detection, text embedding with custom pre-training or other)\n\n* Strong experience with data analysis tools\n\n* PhD degree in related field\n\n* Publications in related domain\n\n* Linux user experience\n\n\n\n\nWhat we offer\n\nOpen and Collaborative Environment:\n\n\n* Own product development based on science and technology\n\n* Personal growth and career development supported on corporate level\n\n* Support of self-study and research\n\n* Development of own deep learning architectures\n\n* Getting custom datasets from the team of professional annotators\n\n* Training on powerful private GPU cloud\n\n* Research and application of state-of-art models\n\n* Development of own unique AI-driven products that work out-of-the-box and loved by world top companies\n\n* Great colleagues and open atmosphere at workplace\n\n* Knowledge and discoveries sharing inside and outside the team\n\n* Collaboration with a great team of ML professionals\n\n* Participation in international workshops and conferences\n\n* Continuous education with invited tutors and paid online programs\n\n\n\n\nEmployee benefits\n\n\n* English language classes\n\n* Employee stock options plans\n\n* Vacation time increase with tenure\n\n* Extended medical insurance for employees and their families\n\n* Personal accident coverage\n\n* Employee assistance program\n\n* Reimbursement of sports activities\n\n* Corporate and social events\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, Executive, Education, Math, Python, Medical and Engineer jobs that are similar:\n\n $80,000 — $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

\nDescription\n\nThrive Global is changing the way people live through our behavior change platform and apps used to impact individual and organizational well-being and productivity. The marriage of data and analytics, our best-in-class content and science-backed behavior change IP will help people go from knowing what to do to actually doing it, enabling millions of consumers to begin the Thrive behavior change journey. As the Lead of the Data Engineering and Data Science team, you will play a significant role in building Thrive’s platform and products.\n\nWho We Are Looking For\n\n\n* A versatile engineering leader with the ability and desire to be both hands-on and lead a team.\n\n* Is excited about collaborating with others, engineering and non-engineering, both learning & teaching as Thrive grows.\n\n* A willingness to take on a broad set of responsibilities from working with the product and engineering team to define architecture and infrastructure to supporting our data engineering efforts, building out data pipelines, building and testing models, putting those models into production and refining them as needed. To do this you will need to hire and grow a small team of technologists that complement your skillset and that of the existing team.\n\n* Is comfortable in a high growth, start-up environment and is willing to wear many hats and come up with creative solutions.\n\n\n\n\nHow You’ll Contribute\n\n\n* Build a small but skilled team that will leverage data to provide recommendations and nudges to users that encourage them to master positive behavior change.\n\n* Work with the team to design and build out production grade data processing tools and infrastructure. \n\n* Work with the team to define hypotheses, conduct experiments, construct prototypes and build and train models to support the use cases required by our behavior change products. \n\n* Work with the team to put models into production.\n\n* Consider user privacy and security at all times.\n\n\n\n\nDesired Skills\n\n\n* 2+ years experience leading a data engineering, data science, or machine learning team.\n\n* 5+ years of industry experience with data engineering, data science or machine learning.\n\n* Extensive programming experience in Java or Python.\n\n* Experience with AWS SageMaker, TensorFlow, or other cloud frameworks. \n\n* Familiar with various machine learning techniques and libraries.\n\n* BA/BS or MS in Computer Science, or equivalent experience.\n\n* A plus to have working knowledge of Big Data (Hadoop, Cassandra, Spark, Kafka, YARN), real-time and batch processing.\n\n\n\n\nOur Mission\n\nThrive Global’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive Global is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.\n\nWhat We Offer\n\n\n* A mission-driven company that’s truly making a difference in the lives of people around the world  \n\n* Ability to develop within the company and shape our growth strategy\n\n* Human-centric culture with a range of wellness perks and benefits\n\n* Competitive compensation package\n\n* Medical, vision and dental coverage + 401k program with company match\n\n* Generous paid time-off programs \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, Engineer, Executive, Teaching, Java and Cloud jobs that are similar:\n\n $75,000 — $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

\nAre you a driven and inquisitive data science leader? Do you love finding insights in large, unique datasets? Want to play a crucial role at a dynamic company that’s improving healthcare for patients across the country?\n\nJoin ZocDoc as the manager of our Data Science team! As a leader of this high-performing team, you’ll lead development of deep insights for our business units to execute as we continue to grow, and have a tremendous impact on the success of a game-changing company.\n\nWhat you’ll do:\n\n\n* Partner with the leadership team to identify and execute on high-impact opportunities to leverage our extensive data, and integrate Data Scientists into department and product roadmaps\n\n* Lead a team of high performing data scientists, reaching across multiple functions (e.g. Product Management and Data Engineering) to implement models into production\n\n* Present to high-level business stakeholders stories that tell cohesive, logical stories about the value and uses of Data Science\n\n\n\n\nWhat’s required:\n\n\n* 2+ years of experience managing a high-performing Data Science team. It's a plus if that Data Science team contributed to product development.\n\n* Expertise working with large, complex SQL and NoSQL database infrastructure\n\n* Solid understanding of statistics and common machine learning techniques\n\n* A Master's degree in statistics, math, engineering, physical sciences, computer science, or another quantitative discipline\n\n\n\n\nWhat you’ll get:\n\n\n* A home at our award-wining NYC workplace\n\n* 100% employer-covered health insurance\n\n* A competitive salary and stock options\n\n* Catered lunch every day\n\n* The chance to create a better healthcare experience for millions of patients!\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, Executive and NoSQL jobs that are similar:\n\n $80,000 — $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