Data Scientist - Apex Systems : Job Details

Senior AI/ML Data Scientist

Location: San Antonio, TX OR Tysons, VA (3 days onsite)

Required: AI/ML Data Analytics, Python or R, AWS or Snowflake

The primary purpose of this job is to develop and implement advanced analytics solutions and processes to drive business value. As a lead level professional on the Enterprise Data Team, this job develops, reviews and validates, and designs advanced analytics, AI/ML, and analytical model solutions. This role will drive key projects on their own and will work as the subject matter expert collaborating closely with cross-functional teams to provide guidance and leverage data analytics to unlock new opportunities, reduce expenses, and drive business value.

Responsibilities

• Provide expert guidance to the team on complex business problems, offering strategic insights and recommendations for advanced analytics solutions included analytics models and AI/ML solutions.
• Conduct autonomous end-to-end more complex statistical model creation, including but not limited to identifying objectives, compiling data, sampling/prepping data, feature selection, model comparison/selection, deployment, and monitoring. Ensures adequate internal control processes around model development, implementation and validation are established.
• Partner with other competency leads/developers, Data scientists, Data Analysts, Data stewards and support project planning, technical design, development, and solution deployment functions.
• Provide guidance and mentorship to junior team members involved in major team projects such as model development and model validation, etc.
• Establish consistent and robust model implementation processes across models with effective review and controls.
• Lead the development, monitoring, and maintenance of advanced risk models using cutting-edge machine learning and statistical methods, proactively researching and recommending innovative approaches to enhance model performance and accuracy.
• Establish standardized documentation processes and consistent model implementation practices across the team, fostering collaboration with stakeholders to enhance model implementation processes and ensure seamless integration into forecasting tools.
• Collaborate with IT and data engineering teams to ensure efficient data management, data quality, and data integration for analytics projects.
• Foster a culture of data-driven decision-making and promote the use of advanced analytics across the organization.
• Communicate effectively with senior management, regulators, internal audit, and other stakeholders regarding model development and implementation, demonstrating strong interpersonal skills and the ability to convey complex concepts clearly and concisely.
• Participate in regular interactions with stakeholders to improve model implementation processes, integrating feedback and requirements into forecasting tools for effective utilization and optimal performance.
• Partner with cross functional teams to continually improve data governance, data quality, and data security in a multi-tenant environment; standardize data.

Qualifications

Equivalent combination of education and experience is considered.

• Ph.D. or Master's Degree.
• Gen AI and LLM expereince
• Minimum of four (4) years of related work experience in building statistical models and advanced data analysis.
• Proficiency in a broad range of advanced statistical techniques, including but not limited to Logistic Regression, Linear Regression, Time Series Analysis, Decision Trees, Cluster Analysis, Gradient Boosting Machine, and other machine learning algorithms required.
• Advanced programming skills, with Python Or R.
• 1+ years' Experience using cloud-native tool like AWS S3 and Snowflake