Top Data & Analytics Jobs
Conduct high-level research on forest carbon dynamics, lead projects for enhancing carbon storage, analyze data using statistical and GIS tools, collaborate with stakeholders for conservation strategies, write grant proposals and reports, lead field teams in data collection, engage with carbon market stakeholders
The Remote Sensing AI Researcher will design machine learning infrastructure, develop algorithms and deploy models for hyperspectral imagery. Responsibilities include conducting research on AI/ML applications, mentoring colleagues, and contributing to publications. Collaboration with data scientists and software teams is essential for production transitions.
The Data Migration Architect is responsible for assessing and planning the data center migration process, collaborating with stakeholders, developing migration plans, ensuring compliance with regulations, mitigating risks, and providing technical guidance during and after the migration. The role requires excellent problem-solving skills and the ability to work independently to manage complex migration activities.
Featured Jobs
As a Staff Data Scientist at SentiLink, you will be responsible for building fraud detection models, researching new fraud types, and developing products for financial risk. This role requires strong technical abilities, model development skills, and the ability to work across teams to inform sales and marketing initiatives.
As a Lead Data Scientist, you will identify opportunities for applying data science and machine learning techniques to enhance marketing, products, and processes. Collaborating with various teams, you'll drive projects related to marketing optimization and customer data analysis, while mentoring the data science team.
Senior Data Scientist role at Pilot Company, responsible for solving complex business problems through data analysis, modeling, and experimental design. Collaborate with stakeholders to identify opportunities for data science solutions that drive commercial value. Master's degree in statistics, econometrics, or data science required, along with 5-7 years of industry experience. Proficiency in Python, R, SQL, and machine learning is essential.
The Senior Data Engineer will design, implement, and optimize scalable data analytics infrastructure. Key responsibilities include developing data pipelines, maintaining data quality, supporting analytics through modeling, creating dashboards, and collaborating with various teams to enhance data-driven decision-making processes.
As a Data Scientist at Jun Group, you will collaborate with various teams to identify key metrics, enhance data collection for analytical models, and apply quantitative methods to optimize ad campaign performance. Your role involves processing data, supporting machine learning design, and creating visualizations and reports.
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The Senior Credit Analyst will develop pricing models for sustainable growth, create customer risk profiles, perform credit risk analysis, and collaborate with cross-functional teams to guide lending strategies and insights. They will also track key performance indicators and support model development with the Data Science team.
As a Senior Credit Analyst at Step, you will build pricing models, implement data tracking for KPIs, collaborate on lending strategies, and create customer risk profiles, all while working closely with Data Science to optimize profitability through credit policies and analysis.
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