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  • Principal Data Scientist - Remote

    Required Qualifications: Advanced degree (PhD preferred) in Computer Science, Machine Learning, Statistics, or a related field 3-5+ years of experience in applying data science models and advanced Natural Language Processing techniques Proficiency in Python...and SQL, with experience using ML frameworks like TensorFlow and PyTorch Skilled in data manipulation, visualization, and analysis techniques Proven ability to solve complex problems and collaborate effectively within a team

  • Senior Data Scientist - Remote

    Qualifications Bachelor's degree in engineering or science discipline (advanced degree preferred) 5+ years of experience in Data Science in a corporate setting Expertise in statistical modeling, machine learning, and deep learning techniques Proficiency in SQL..., Python, and Spark Experience in safety, automotive, or robotics data science

  • Senior Data Scientist - Remote

    science 5+ years of experience in Data Science within a corporate setting Expertise in statistical modeling, machine learning, and generating insights from large datasets Experience in safety, automotive, or robotics data science Proficiency in SQL..., Python, and Spark

  • Lead Data Scientist Statistician - Remote

    operations, biostatistics, econometrics, or relevant degree) 8+ years of relevant experience, with at least 5 years as a Data Scientist or Statistician Expertise in statistical modeling, machine learning, and deep learning techniques Proficiency in SQL...and Python Experience with data visualization tools and techniques

  • Product Owner Data Science - Remote

    quantitative discipline or equivalent experience; PhD preferred 6+ years of experience in data science, including machine learning and predictive modeling Proficient in programming languages such as Python, Java, Scala, or C++ Strong knowledge of SQL...and relational databases Experience with large databases and data management

  • Senior Clinical Bioinformatics Scientist - Remote

    Master's degree with 6 years Company experience in Bioinformatics or related discipline, OR PhD with 3 years experience, OR Bachelor's degree with 9 years Company experience Strong knowledge Company genetics and experience with NGS data analysis Proficiency in Python..., SQL, and Jupyter, along with experience in Docker and Nextflow Experience with challenging genetic regions, such as short tandem repeats or high homology genes Familiarity with common NGS alignment, variant calling, and visualization tools

  • Database Engineer - Remote

    Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using SQL/Python Architect and orchestrate modular, traceable data workflows with modern frameworks Assist in building and maintaining cloud-native database management systems...Citizenship required and ability to obtain a T5/SSBI federally adjudicated clearance 5 years of experience with a BS/BA; 3 years with an MS/MA; 0 years with a PhD Proficiency in SQL/Python for ETL workflows and orchestration tools Familiarity with

  • Software Engineer with Secret Clearance - Remote

    time of application) Bachelor's degree in Computer Science, Engineering, or related field; advanced degrees with relevant experience may be considered Knowledge of scripting languages such as JavaScript, jQuery, and ASP WebAPI Experience with MSSQL databases...and complex SQL queries Experience working in an Agile/DevOps process and with application/web servers

  • Senior Data Scientist - Remote

    ., R, Python) and database languages (e.g., SQL) Experience with generative AI and advanced analytics aligned with business objectives Hands-on expertise in implementing Retrieval-Augmented Generation (RAG) pipelines Deep understanding of modeling

  • Data Science Manager - Remote

    scalable data solutions Required Qualifications MS or PhD in Computer Science, Data Science, AI/ML, Statistics, or a related field 7+ years of experience in data science roles, with at least 3 years in a leadership position Strong proficiency in Python..., SQL, and ML frameworks like TensorFlow or PyTorch Experience with big data technologies and cloud platforms such as AWS or GCP Proven track record of deploying machine learning models at scale

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