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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
$124,000 - $262,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are seeking a Data Science Associate to join the Fidelity Digital Asset Management business and report directly to the VP, Data Science. Proficiency in complex data extraction or processing using Python, SQL, Snowflake.
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We are hiring a talented Senior Big Data Engineer to build cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development.
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Data science and cloud certifications are a plus (Certified Data Scientist (CDS), AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional.
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Minimum Requirements: Masters degree in Computer Science, Data Science, Mathematics, Statistics, or a closely related analytical field of study and 3 years of experience as a Data Scientist or AI Engineer working in the industrial automation or automotive industry.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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Bachelor or Masters degree in a quantitative discipline (e.g. engineering or computer science) Minimum of 2 years of relevant professional experience in financial engineering, technology or quantitative investment functions with practical experience querying on-chain data and/or deploying smart contracts.
$85,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT) Expertise in open source data science technologies such as Python, R, Spark, SQL.
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As a Data Science intern on our team, you'll be working on various algorithms and using Natural Language Processing (NLP) methods to work on some of our most interesting problems using expertly curated datasets.
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Requirements: Requires a Bachelor’s degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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Of science into data products by acting as the voice of “Knowledgebase” and interoperability/value of asset. Provides bespoke subject matter expertise for R&D data to translate deep science into data for actionable insights.
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BS or MS degree in Computer Science or a related technical field 4+ years of Python or Java development experience 4+ years of SQL experience (No-SQL experience is a plus) 4+ years of experience with schema design and dimensional data modeling Ability in managing and communicating data warehouse plans to internal clients Experience designing, building, and maintaining data processing systems Experience working with a cloud platform such as Snowflake / Azure or Databricks.
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At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$90,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with data science packages such as skit-learn, SciPy etc., and Machine Learning frameworks such as TensorFlow, Keras and Torch or LLMs. The Data Science and Machine Learning team at Lucid is on the mission to design, develop, and deploy AI solutions to help make safe and sustainable products and services on par with Lucid's Luxury brand.
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data science jobs Title: machine learning engineer Company: Hireclout
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