Top Hybrid Data & Analytics Jobs in Boston, MA
As a Lead Machine Learning Engineer at Capital One, you will design and implement machine learning applications, focusing on high availability and performance. You will collaborate with various teams, develop optimized ML models, automate tests, and ensure responsible AI practices. This includes maintaining and monitoring deployed models and utilizing cloud technologies for scalability.
Senior Manager, Data Science role at a Fortune 200 company specializing in credit card industry disruption and data-driven decision-making. Responsibilities include partnering with cross-functional teams, building machine learning models, leveraging technologies like Python and AWS, and translating complex work into business goals. Ideal candidate is customer-focused, a leader, technically proficient, and a data guru. Basic qualifications include a Bachelor's Degree with 7 years of experience in data analytics or a Master's Degree with 5 years of experience.
The Principal Associate of Ontology and Data Modeling at Capital One is responsible for developing, implementing, and maintaining enterprise ontologies in support of the company's Data Strategy. They collaborate with various teams to develop domain ontologies and integrate semantic technology into Capital One products and services. The role also involves advocating for the value of semantic technology and knowledge organization concepts.
The Senior People Data Scientist role involves driving innovation in people analytics and data science, working with clients and cross-functional teams, solving complex problems, and communicating insights effectively. The candidate will utilize statistical methods and programming languages to manage multiple projects successfully and improve service scalability.
The Senior Data Scientist will design, implement, and support AI-enabled products using clinical trial data. Responsibilities include developing predictive models, conducting data analysis, ensuring data quality, and collaborating with stakeholders to optimize outcomes using AI methodologies.
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As a Data Scientist II at Klaviyo, you will collaborate on product teams to provide data science solutions, utilizing statistical methods and machine learning. Responsibilities include designing experiments, developing algorithms, and working cross-functionally with product, design, and engineering teams.
The Senior Billing Analyst at Vestmark's Outsourced Services will manage client billing data, conduct reconciliations, oversee accounts receivable, and collaborate with various departments to ensure accurate billing operations. This role requires strong analytical skills, attention to detail, and effective communication with clients to support billing services and onboarding.
As an Analytics Engagement Manager at Definitive Healthcare, you will help clients leverage data-driven solutions to meet their business goals. Responsibilities include gathering client requirements, developing Statements of Work, enhancing product adoption, and providing thought leadership in healthcare commercial intelligence. You will ensure the successful utilization of the Atlas All-Payer Claims asset within your assigned clients.
The Sr. HR Compliance Analyst will enhance HR compliance by developing and administering global compliance programs, ensuring adherence to employment laws and regulations, conducting audits, and providing guidance on regulatory matters. This role includes monitoring HR policies, managing compliance documentation, and facilitating compliance training.
The Head of Enterprise Data Platform and Services at Takeda oversees the transformation and optimization of data operations, leading teams in the development of AI-powered data platform initiatives, improving analytics capabilities, and ensuring data reliability and security.
The Senior Principal Scientist will lead the design and development of innovative scientific solutions in RF and machine learning, specifically focusing on cognitive electronic warfare and trustworthy AI. This role involves collaboration with various stakeholders, program management, and the execution of complex research projects, from concept to prototype development across multiple defense-related product domains.
As a Lead Data Science Engineer, you will lead a team to develop and implement machine learning models, enhance search capabilities, and drive impactful projects that create tailored user experiences in the Sportsbook industry.
Top hybrid Companies in Boston, MA Hiring Data + Analytics Roles
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