Associate Principal Data Scientist

Responsibilities Lead and oversee data science initiatives involving large and complex datasets to support business strategy and organizational objectives to implement techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and/or visualization software. Direct the design, development, and implementation of machine learning and AI solutions, using big data technologies, ensuring alignment with business requirements. Provide strategic guidance on deployment frameworks, scalability, and performance optimization of data-driven solutions. Collaborate with senior leadership and cross-functional stakeholders to define data strategy, priorities, and measurable outcomes. Supervise, mentor, and evaluate a team of data scientists and related professionals, including assigning work, reviewing deliverables, and supporting career development. Manage project planning, resource allocation, and execution of data science programs to ensure timely and high-quality delivery. Oversee research initiatives by guiding problem identification, approach selection, and data validation methodologies, ensuring alignment with business needs. Manage ownership of key product areas or research portfolios, including stakeholder communication, risk management, and outcome delivery. Establish and enforce standards for quality, governance, scalability, and compliance across all data science solutions. Provide strategic leadership by evaluating emerging technologies and recommending adoption in line with organizational goals. Desired Profile Education: Bachelor's or equivalent in Computer Science, Data Science, Statistics, Mathematics, Engineering (any field), or a related field. (Alternatively, a Master's degree in the above-stated fields is accepted). Experience: Seven (7) years of progressively responsible experience in data science, machine learning, advanced analytics, or related IT roles. If holding a Master's degree, five (5) years of experience in the above-stated occupations is required. Programming & Machine Learning: 3 years of experience using Python or Scala and in machine learning frameworks and statistical modeling. Big Data & Cloud: 3 months of experience with big data technologies Hadoop, Spark, Google Cloud Platform (GCP), and AWS. (All experience/skills may be acquired concurrently) Location and Compensation Location: 7272 Wisconsin Ave., Floor 9, Bethesda, MD 20814. Rate of Pay: $190,000.00/year. #J-18808-Ljbffr HiLabs Inc.