Top Hybrid Data Science Jobs in Boston, MA
As an Associate Scientist in Upstream Process Development, you will develop and optimize mammalian cell culture processes for recombinant proteins and biologics, assist in technology development projects, and document laboratory activities while ensuring compliance with quality standards. You will collaborate with cross-functional teams to assure effective lab operations.
As a Data Scientist II on the Sleep Data Science team, the role involves developing machine learning algorithms for sleep data analysis, collaborating with MLOps, product managers, and research scientists, and integrating clinical data. Responsibilities include model development, monitoring performance, and productionizing algorithms using Python.
As a Senior Data Science Engineer at DraftKings, you will lead data science projects, develop statistical models and machine learning algorithms, collaborate with teams to integrate solutions, mentor junior data scientists, and innovate approaches for content generation.
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As an AI & GenAI Data Scientist-Manager at PwC, you will lead data-driven projects, leveraging advanced analytics and AI solutions to optimize business operations. Responsibilities include managing development teams, collaborating with clients to address their business needs, and mentoring team members while upholding professional standards.
The Data Science Co-op at Solaria Labs involves supporting various projects related to public health and safety using machine learning techniques. The role includes coding, collaborating with teams, and developing software prototypes, as well as building custom algorithms and insights from data.
The Senior Data Scientist will conduct research on emerging technologies in AI, develop machine learning models, refine integration patterns for these models, and collaborate with business and product teams to enhance customer experiences and business outcomes.
The Sr. Finance Analyst will perform detailed analysis of Annual Recurring Revenue (ARR) and support forecasting, financial modeling, and reporting by leveraging SQL and other tools. They will identify risks and opportunities to inform strategic business decisions and improve processes within the FP&A team.
The Senior Data Scientist at CarGurus will implement and train machine learning models, develop data pipelines, evaluate model performance, and design A/B tests. They will collaborate with engineers and stakeholders to deploy models and communicate their findings through documentation and visualizations.
The Applied AI Scientist will develop advanced algorithms for solving high-dimensional problems, execute statistical and data mining techniques on large data sets, evaluate emerging datasets for analytics, and contribute to thought leadership. They will also focus on feature engineering from varied data sources and expertise in machine learning algorithms.
As a Senior Data Scientist in the LLM team, you will build and deploy large-scale models, create machine learning features, and collaborate with engineers to enhance Datadog's offerings using Generative AI. Your role includes monitoring and maintaining model infrastructure, participating in research discussions, and simplifying complex concepts for stakeholders.
Top hybrid Companies in Boston, MA Hiring Data + Analytics Roles
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