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  • Senior Data Scientist

    experience, or Master's degree and 5+ years of related experience Significant experience in data science roles within cloud environments (preferably AWS) Hands-on experience with Databricks, JupyterHub, MLflow, and AWS tools Strong proficiency in Python..., SQL, R, and Spark Experience working in regulated or government environments

    Databricks AWS SageMaker MLflow JupyterHub
  • Senior Data Scientist

    years of experience or Master's degree with 5+ years of experience Significant experience in data science roles within cloud environments, preferably AWS Hands-on experience with Databricks, JupyterHub, MLflow, and AWS tools Strong proficiency in Python..., SQL, R, and Spark Experience working in regulated or government environments and must be eligible for Public Trust clearance

    Databricks JupyterHub AWS SageMaker AWS Bedrock
  • Principal Data Engineer

    engineering with at least 3 years in a principal or lead role 2+ years of experience in Cloud Platforms (Azure, AWS) 2+ years of experience in Data Engineering (Databricks, Snowflake, Spark, Hive, Airflow, ADF) 2+ years of experience in Programming (Python..., SQL, PySpark)

    Databricks Snowflake Azure ML AI/ML
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  • Senior Data Engineer

    Engineering, Computer Science, Mathematics, or related field 7+ years of experience in Data or Analytics Engineering Expert in SQL and data modeling, with experience in data warehouse design Experience with AWS and cloud data technologies Proficient in Python...and Unix/Linux scripting

    Data Engineering Data Pipelines Enterprise Architecture Data Modeling
  • Senior Data Engineer

    Key Responsibilities Design, build, test, and implement scalable data pipelines using Python and SQL Maintain and optimize performance of the Snowflake data warehouse, including data ingestion and query optimization Extract data from APIs using Python

    Snowflake SQL Python AWS Lambda
  • Data Engineer

    pipelines for data acquisition Standardize disparate datasets into coherent schemas and design custom AI agents for workflow automation Required Qualifications Strong experience with analytical environments like Pandas, R, or Matlab Proficient in Python...and SQL for building tools that streamline data access Experience with time series data and its associated challenges Familiarity with tools like Docker and Linux CLI Background in a quantitative or data-rich domain such as finance or gaming

    Python SQL Pandas Polars
  • Bioinformatics Scientist II

    medicine applications Required Qualifications Ph.D. in Mathematics, Bioinformatics, Computational Biology, or a related field Strong experience in machine learning and AI, particularly in deep learning for biomedical applications Proficient in Python...and SQL, with experience in ML frameworks and code versioning Familiarity with genetic variant standards and clinical data ontologies Demonstrated success in applying AI/ML to biomedical datasets

    AI Machine Learning Deep Learning Genomics
  • Senior Data Scientist

    Key Responsibilities Design, develop, and deploy machine learning models for predictive analytics and personalized patient care Build scalable ETL pipelines using SQL and Python to process large healthcare datasets Lead initiatives in Generative AI...to enhance patient communications and clinical documentation Required Qualifications 5+ years of experience in data science or advanced analytics, preferably in healthcare or life sciences Expertise in SQL and Python for data wrangling and modeling

    SQL Python Generative AI Machine Learning
  • Staff Data Engineer

    experimentation speed with operational excellence Establish architectural and data quality standards across multiple teams Required Qualifications 6-8 years of experience in architecting enterprise-scale data platforms in cloud environments Expertise in Python...and SQL with experience in data modeling and optimization Proven experience with modern data stack tools such as Airflow, dbt, and Beam/Spark Familiarity with containerization, CI/CD pipelines, and data governance frameworks Strong understanding of

    Data Platforms Cloud Environments Python SQL
  • Data Analyst for Fleet Operations

    insights to stakeholders Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field 3+ years of experience in data analysis, machine learning, or AI model development Proficiency in Python..., R, SQL, or equivalent tools for data modeling and analysis Experience with data visualization tools (e.g., Power BI, Tableau, or similar) Experience working with large datasets and cloud-based data platforms (e.g., AWS, Azure, or GCP)

    Data Analysis Predictive Modeling AI Machine Learning