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As the Experimentation Data Scientist at Rokt, you will play a pivotal role in shaping the way we innovate, optimize, and make data-driven decisions across the organization. Your expertise in experimental design, statistical methods, and data visualization will enable you to uncover actionable insights that contribute to our ongoing growth and success.
$198,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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We are seeking a Senior Manager/Staff Data Scientist on Advanced Measurement Methodology to shape the future of our organization through data driven insights with solid methodology foundation.
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Utilize extensive knowledge of polymer chemistry principles for materials selection/management, formulation processes to enhance the scalability and quality of the lens material.
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Dr. Singer's Sarcoma Research Lab is seeking an experienced Scientist to join their NIH funded laboratory dedicated to gene target identification and drug discovery in soft tissue sarcoma through a genome-wide genetic and functional analysis.
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Utilize extensive knowledge of polymer chemistry principles for materials selection/management, formulation processes to enhance the scalability and quality of the lens material.
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The employer will alternatively accept a Doctorate (Ph. D.) degree in Computer Science, Data Science, or related quantitative field of study plus 1 year of experience in the job offered or as Applied Artificial Intelligence Machine Learning Associate, Data Scientist, Software Engineer, or related occupation.
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A key focus will be the development and application of novel rare variant methods that combine results from large-scale DNA sequencing data sets with experimental perturbation within in vitro cellular models, ultimately to infer the mechanistic effects of disease-associated variants.
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Experiencewithmodern data technologies/stack such as cloud services (AWS, Azure, GCP), Containerization (Docker, Kubernetes), Databases (Redshift, Snowflake), Programing languages (R, Python, SAS), VCS and CICD (GitHub, GitLab, CodeCommit, Jenkins, CodePipeline.
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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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As a Director, Data Scientist for Finance and Actuarial, you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other specialists to transform financial and actuarial processes by building state-of-the-art actuarial, financial, and behavioral models.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
$66,560 - $110,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Degree in engineering or construction management as well as 2 years of on-site Data Center construction scheduling experience is required. Develop and maintain project schedules identifying relationships, logic, milestones and constraints for Data Center construction projects through interactive planning with the project team.
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6+ years in the Data space as a data analyst, analytics engineer, data scientist, or equivalent. Experience working with commercial data warehouses (Redshift), ETL tools (Dbt), data visualization (Python notebook, Thoughtspot, Looker, Tableau, Hex), and Data Dictionary tools (Atlan.
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Experience utilizing modern data infrastructure tools such as cloud data warehouses (Snowflake, BigQuery, etc), data integration tools (Fivetran, Airflow, etc), business intelligence tools (PowerBI, Sigma, etc), CRM systems (Salesforce, Everyaction, etc), and other enterprise data tools (such as Airtable) required.
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data scientist remote jobs Title: data scientist Company: Metlife Legal Plans in New York, NY
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