Senior Data Scientist

Senior Data Scientist

This is an excellent opportunity to join a new team developing innovative AI solutions for a global technology and services company that is a leader in their industry.

RESPONSIBILITIES:

• Analyze large and complex datasets to uncover patterns, trends, and insights that can improve business performance and decision-making.
• Develop predictive models, machine learning algorithms, and statistical models to solve complex business challenges.
• Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.
• Design and execute experiments to test hypotheses and validate models.
• Apply advanced statistical techniques and data mining algorithms to extract actionable insights from structured and unstructured data.
• Build and maintain scalable data pipelines and data processing systems.
• Communicate findings and recommendations to stakeholders, including non-technical audiences, through visualizations, reports, and presentations.
• Stay updated on advancements in data science, machine learning, and analytics.
• Strong focus on delivery and Agile methodologies, leading projects from conception to implementation.
• Collaborate with the Enterprise Analytics team to integrate new practices and technologies.

This opportunity is a direct-hire position, and you can be based in Richmond, Virginia (highly preferred) or Irving, Texas. You can telecommute two days a week. Our fantastic 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.

REQUIRED SKILLS:

• 7+ years 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