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  • Senior Software Engineer

    a quantitative field such as Computer Science, Mathematics, Engineering, or Physics Strong knowledge of algorithm design and data structures Experience with large-scale distributed data processing systems like Apache Spark or Hadoop Proficient in Python...and SQL programming Familiarity with basic graph theory concepts

    Graph Algorithms Distributed Databases Graph Processors Python
  • Sports Betting Licensed Data Scientist

    , Computer Science, or a related field; MS degree preferred 2+ years of experience in data science, machine learning, or a related technical role Hands-on experience with recommendation engines and personalization algorithms Strong proficiency in Python...and advanced SQL skills Solid foundation in statistics and experimental design

    Python SQL Machine Learning Recommendation Systems
  • Senior Data Scientist

    Key Responsibilities Collaborate with business partners to develop innovative solutions using advanced techniques and tools Develop, test, and deploy data science solutions utilizing Python, SQL, and PySpark on enterprise platforms Design and optimize...and SQL Proven ability to build and deploy Streamlit dashboards for model explainability

    Python SQL PySpark Databricks
  • COACHING
    Free Coaching - Learn From the Pros

    Get access to expert-led coaching session recordings on AI, resumes, LinkedIn, interviewing, and more when you register.

  • Data Engineer

    Key Responsibilities Build and maintain robust ETL pipelines from scratch Work with large, complex datasets using Python and raw SQL Deliver data solutions that drive business outcomes for enterprise clients Required Qualifications 3+ years of...experience as a Data Engineer Strong Python and SQL skills Hands-on experience with PySpark, AWS, and Databricks Proven experience building ETL pipelines

    Python SQL PySpark AWS
  • Senior Finance Machine Learning Engineer

    Collaborate with cross-functional teams to align data science solutions with business objectives Required Qualifications: 4+ years of experience in data science, with expertise in model deployment and GenAI or LLM applications Strong proficiency in Python..., SQL, and statistical modeling techniques Experience building production data pipelines in AWS Knowledge of time series analysis and advanced feature engineering Experience with finance datasets and SOX compliance requirements

    Machine Learning LLM Data Engineering Model Development
  • Senior Analytics Analyst

    ., R, Python, SQL) and data visualization software (e.g., Tableau, PowerBI) Fluency in speaking Japanese required Knowledge of supply chain, forecasting, and optimization preferred Experience processing and presenting large quantities of data (Millions

  • Senior Data Scientist

    relevant experience, or Master's degree with 5+ years of relevant experience Extensive experience in data science roles within cloud environments, preferably AWS Proficiency with Databricks, JupyterHub, MLflow, and AWS services Strong command of Python..., SQL, R, and Spark

    Databricks JupyterHub AWS SageMaker AWS Bedrock
  • Senior Clinical Bioinformatics Scientist

    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

    Bioinformatics NGS WGS Python
  • Data Engineer QA Analyst

    automation, or related roles, with 2+ years on cloud-hosted systems Bachelor's degree in computer science, engineering, data science, or a similar discipline, or equivalent practical experience Hands-on experience building ETL/ELT pipelines on AWS with Python..., SQL, or PySpark Proven ability to design and run automated test suites integrated into CI/CD workflows Experience with monitoring pipeline health and application performance using logging and alerting tools

    AWS ETL ELT Python
  • Senior Solutions Engineer

    similar work experience Experience with Event-Driven architecture, Data Integration & Processing Techniques First-Hand exposure to Cloud Architecture, Migrations, and Deployment Experience with Automation, GitOps, and Kubernetes Proficiency in Java, Python..., or SQL

    Data Streaming Event-Driven Architecture Data Integration Database Technologies