Top Hybrid Data Science Jobs
The Senior Director of Engineering and Data Science at Fluence leads software engineering and data ops teams, focusing on developing AI-based solutions and aligning initiatives with business goals. The role involves shaping architectural decisions, optimizing performance, and fostering a culture of innovation. Collaboration with executives and mentoring team members are also key responsibilities.
As a Marketing Science Analyst, you will collect and analyze consumer data, market trends, and campaign performance using proprietary tools. You will develop statistical models, create insight dashboards, and collaborate to present findings that support decision-making and improve business outcomes.
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The Data Scientist II role focuses on analyzing data to enhance Tinder's recommendation algorithms and improve user engagement. Responsibilities include A/B testing, designing experiments, building forecasting models, and reporting insights to influence strategic decisions across product, marketing, and engineering teams.
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As a Revenue Analyst, you will manage royalty transactions, prepare journal entries, and collaborate with teams to close books effectively. The role focuses on analyzing partnership agreements and revenue sharing arrangements while ensuring compliance with revenue recognition standards.
The Senior Data Scientist will support the DoD's adoption of data and AI by designing and optimizing machine learning models, collaborating with cross-functional teams, managing AI/ML components, and addressing data challenges for defense and intelligence functions.
The Lead Data Specialist will oversee data warehouse design, lead a team in problem-solving, and ensure effective communication with both business and technical teams. The role requires expertise in Informatica and Snowflake, as well as familiarity with the Pharma domain and life science datasets. Responsibilities include building solutions for data engineering and presenting complex data in understandable narratives.
As a Lead Data Scientist, you will develop statistical methods for data products, mentor other data scientists, and collaborate with engineers to scale solutions. You will also work on building experimentation tools and enhancing user-facing features while ensuring high standards in statistical practices.
As a Data Scientist, you will design and maintain complex data models, implement machine learning and AI algorithms, analyze large datasets, and collaborate with teams to create data-driven solutions. You will ensure data quality and develop visualizations to communicate findings.
The Lead Data Scientist will transform data into actionable insights for marketing strategies, develop predictive models, optimize acquisition algorithms, and collaborate with other departments to drive business decisions based on data analysis. Responsibilities include leading data science initiatives, building experimentation frameworks, and presenting findings to stakeholders.
The Research Scientist at ERG will manage projects related to oil and gas monitoring and other air sampling tasks. Responsibilities include designing and building equipment for air sampling, writing technical documents, and conducting field work up to 30% of the time. Mechanical and fabrication skills are essential, alongside knowledge of programming languages like Python, HTML, and R.
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