Top Data Science Jobs in NYC
The Senior Instructional Designer, Data Science is responsible for designing and authoring educational content, creating educational products, and ensuring that learner outcomes can be successfully achieved. Responsibilities include leading content strategy, designing new content, mentoring authors, collaborating with teams, and staying updated on industry standards.
Processing, cleansing, and analyzing data sets to extract insights using machine learning techniques. Collaborating with stakeholders to provide data-driven solutions. Enhancing data collection procedures and predicting future trends for proactive decision-making.
The Enterprise Data Services Specialist is responsible for migrating legacy data, providing guidance on best practices, and driving implementation progress. They work closely with the Enterprise Onboarding Team and customer IT resources to ensure efficient data migrations from legacy client platforms. This role also involves managing data services cases, troubleshooting import errors, and collaborating with internal resources to champion data services requirements.
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Build and enhance data products that inform pricing strategy and reinforce the value proposition of mental health programs.
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Building data-driven algorithms to rank and recommend doctors based on performance and healthcare economics.
Seeking a Senior Manager of Data Science to develop a world-class team, build stakeholder relationships, and drive growth using data insights. Responsibilities include driving results, breaking down projects, resilience, and coaching. Required skills include 3+ years of team management, results-driven mindset, adaptability, technical proficiency in Python and SQL, analytical methodologies, statistics, product metrics, and passion for NLP.
As a Data Scientist on the Growth Data Science team at Notion, you will collaborate with the Monetization team to accelerate self-serve revenue generation. Your responsibilities include analyzing user interactions with Notion, defining problems for influential projects, designing experiments to evaluate feature success, and influencing product roadmaps through data-driven insights.
The Senior Data Scientist, Algorithms at Bowery builds production-facing data products to automate and optimize agricultural and operational functions across indoor vertical farms. Responsibilities include designing and implementing machine learning models, optimizing farm operations, and analyzing historical data for forecasting yields and growth potential.
As a Data Engineer, you will own the next iterations of the Arlo underwriting API from modeling to deployment. You will partner closely with our head actuary to refine our model and ideate novel underwriting strategies.
Optimizing data architecture within R&D, identifying opportunities for automation, collaborating with stakeholders, researching and recommending automation tools, developing prototypes, integrating automation solutions, providing guidance and support, monitoring performance, staying updated on emerging trends, and identifying opportunities for process improvement and automation.
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