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Top Hybrid Data & Analytics Jobs
The Senior Data Scientist will independently explore and analyze data to identify optimization opportunities in logistics, patient engagement, and population health. Responsibilities include supporting data inquiries and designing A/B experiments. The role aims to enhance healthcare delivery through data-driven insights.
As a Lead Analytics Engineer at Dashlane, you will design and implement data models, collaborate with data stakeholders, ensure model quality, and train users on BI tools like Tableau. You'll leverage your expertise in DBT and AWS to support business decisions through reliable data insights.
As a Data Scientist in Trading Operations, you will be responsible for deriving insights from complex datasets, ensuring data correctness, identifying production anomalies, and automating analyses for ongoing monitoring within the Quantitative Trading Strategy team.
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As a Data Engineer, you will build and optimize production-grade data solutions on AWS or GCP, develop scalable ETL pipelines, and manage data storage and transformation routines. You will work closely with the Machine Learning and Data Platform team and engage with both technical and business stakeholders.
The ML Research Scientist will lead research projects enhancing the Genesis AI platform in generative modeling for molecular systems, conduct large-scale experiments, and mentor junior team members while contributing to the research community through publications.
As the Senior Principal Data Annotation Team Lead, you will oversee data annotation processes for autonomous vehicle systems, leading internal teams and external vendors, ensuring high-quality standards and operational efficiency. You will implement quality assurance measures, forecast annotation requirements, and optimize collaboration to support data integration into development pipelines.
As a Technical Principal Consultant, you will partner with clients to develop strategies for optimizing business solutions involving AI and ML, manage engagements worth $2-5M, assist in business development, and provide mentoring while delivering high-quality results on multiple projects.
The Director of Data Engineering will lead the optimization and scaling of Pendulum's data infrastructure, ensuring reliable data pipelines and compliance with governance standards. They will mentor a data engineering team, drive data strategies aligned with business goals, and support AI/ML initiatives.
As a Senior Data Scientist at Attentive, you'll lead the development of machine learning models and statistical analyses to enhance AI products. Responsibilities include designing experiments, interpreting data, collaborating with teams, and presenting insights to senior leadership to drive strategy and improve product performance.
As a Senior Analyst Relations Manager, you'll develop and execute an Analyst Relations strategy, manage analyst briefings, conduct research and competitive analysis, track KPIs, and collaborate with analysts to enhance brand visibility and influence market research.
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