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Top Hybrid Data Science Jobs in Boston, MA
Healthtech • Security • Software • Cybersecurity
The Senior Data Scientist will enhance the machine learning capabilities of Imprivata's Digital Identity Platform by analyzing and processing data while ensuring ethical handling of sensitive information. Responsibilities include conducting machine learning experiments, developing production-quality code, collaborating with cross-functional teams, and providing mentorship within the team.
Top Skills:
Python
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Senior Scientist will develop and optimize biotherapeutics by modeling protein structures and utilizing AI/ML to enhance property prediction. They will collaborate with project teams and improve computational workflows while analyzing data to enhance drug properties.
Top Skills:
MatlabPerlPython
Fitness • Hardware • Healthtech • Sports • Wearables
As a Senior Data Scientist at WHOOP, you will develop and maintain algorithms for sleep analysis, collaborating closely with MLOps engineers and data engineers. You will conduct research on wearable sensor data to enhance sleep features and design studies to improve algorithm performance, while also occasionally handling production incidents.
Top Skills:
PythonSQL
Featured Jobs
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
As a Senior Data Science Engineer at DraftKings, you'll drive data science projects from inception to deployment, develop statistical models and machine learning algorithms, collaborate with teams to implement solutions, mentor junior scientists, and innovate content generation approaches to enhance user engagement.
Top Skills:
PythonR
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
The Data Science Manager will lead the development lifecycle of AI/ML products, architect data solutions, engage with clients, and publish industry insights while managing a team of scientists and engineers. Responsibilities include tackling complex business problems, training new talent, and contributing to ZS firm strategies in AI.
Top Skills:
Python
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
As an Applied Scientist in the Sponsored Ads team, you will build and implement machine learning models to enhance product search, relevance, and bidding processes for Chewy's advertising solutions, along with monitoring and validating these models. You will collaborate with product and engineering leaders and publish research findings to improve customer engagement and brand reach.
Top Skills:
Deep LearningMachine Learning
Fintech • Machine Learning • Payments • Software • Financial Services
As an Applied Researcher II, you will collaborate with various team members to develop AI-powered products, conduct impactful research, and apply AI methodologies to enhance customer experiences in banking. Responsibilities include building AI models, leveraging a range of technologies, and translating complex research into business objectives.
Top Skills:
PyTorch
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
As a Data Science Co-op, you will support data science efforts in public health and safety by applying current and emerging machine learning techniques. Responsibilities include collaborating with data scientists and engineering teams, building custom algorithms, and participating in product design and ideation.
Top Skills:
Python
Artificial Intelligence • Machine Learning • Biotech • Design
The Scientist I in Biologics Downstream Process Development will perform hands-on bioprocess engineering, develop and optimize downstream purification processes, collaborate with various teams for technology transfer, and contribute to internal and external project efforts.
Top Skills:
Biological EngineeringCell BiologyChemical EngineeringMolecular Biology
Consumer Web • eCommerce • Software
The Senior Data Scientist at CarGurus will implement and train machine learning models, develop data pipelines, evaluate model performance, and support A/B testing for the Data Science team's projects. They will collaborate with engineers and other stakeholders to design and implement machine learning solutions, communicating findings effectively to varied audiences.
Top Skills:
Python
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