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Senior Data Scientist

1 month ago

Reston, Virginia, United States Visionaire Partners Full time
Senior Data Scientist

This is an exciting opportunity to contribute to the development of innovative AI solutions for a global technology and services company.

Key Responsibilities:
  • Analyze complex datasets to uncover insights that drive business performance and decision-making.
  • Design and implement predictive models, machine learning algorithms, and statistical models to solve business challenges.
  • Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.
  • Develop and maintain scalable data pipelines and data processing systems.
  • Communicate findings and recommendations to stakeholders through visualizations, reports, and presentations.
  • Stay up-to-date on advancements in data science, machine learning, and analytics.
  • Lead projects from conception to implementation, with a strong focus on delivery and Agile methodologies.

This opportunity offers a direct-hire position, with the option to telecommute two days a week. Our comprehensive benefits package includes a stock purchase program, bonus plan, 401k match, paid parental leave, wellness programs, volunteer days, training and education assistance programs, and comprehensive healthcare insurance.

Requirements:
  • 7+ years of experience as a Data Scientist, developing and applying advanced analytics solutions.
  • Hands-on experience building and delivering LLM and ML models and workflows.
  • Extensive professional experience with Big Data systems, data pipelines, and data processing.
  • Familiarity with data privacy standards, methodologies, and best practices.
  • Practical hands-on experience with data technologies and Cloud Platforms like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP, and Azure.
  • Hands-on experience working on analytical platforms like SAS, R, Python, Azure ML.
  • Expertise in Unix Shell scripting and Dependency-driven job schedulers.
  • Ability to understand API Specs, identify relevant API calls, extract data, and implement data pipelines & SQL-friendly data structures.
  • Excellent communication and interpersonal skills, with the ability to engage and influence technical teams, business leaders, and external partners.
  • Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale.
  • Proficient in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
  • Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniques.
  • Proficient in applied analytical techniques - clustering, regression analysis, time series analysis, NLP, neural networks, KNN, association rules, decision trees, logistic regression, or similar.
  • Bachelor's or Master's Degree.
Preferred Skills:
  • Healthcare
  • Azure
  • Databricks
  • AI
  • Expertise in Data visualization tools such as Power BI, Tableau, and Looker.