Data Scientist 2

• Under guidance or with minimal supervision, lead the collection, cleaning, and preprocessing of large datasets from diverse sources
• Conduct advanced exploratory data analysis (EDA) to identify trends, patterns, and anomalies that inform modeling efforts
• Design, implement, and refine predictive models using machine learning and statistical methodologies
• Collaborate with cross-functional teams to translate data-driven insights into product and strategy recommendations
• Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to enhance efficiency
• Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to improve model performance
• Support integration of models into production systems by coordinating with functional and technical teams and monitoring performance post-deployment
• Assist in developing and maintaining processes and tools to ensure model performance, reliability, and data quality
• Create and present compelling data visualizations and reports using advanced graphics and visualization tools
• Identify and leverage both internal and external datasets to drive innovation and support business solutions
• Contribute to the development of custom machine learning models and algorithms across diverse datasets
• Apply predictive modeling to improve user experiences, support revenue growth, and enable data-driven insights
• Support the definition of project scope and business expectations based on data-driven insights
• Provide mentorship and share best practices with junior team members under the guidance of senior staff
• Participate in peer reviews and contribute to the continuous improvement of team processes
• Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies
• Ensure data quality, adherence to governance standards, and compliance with data privacy and AI-related regulations

• Bachelor’s Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or Physics or a technical field (such as CIS or IT) relevant to the essential functions of this job description AND a minimum of 1 year of relevant experience
• Experience using systems such as SQL, Python, or R
• Strong knowledge of machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
• Demonstrated understanding of advanced descriptive and inferential statistics
• Demonstrates expert knowledge in data analysis methods and tools
• Demonstrated strong and effective verbal, written, and interpersonal communication skills
• Must be team-oriented, possess a positive attitude, and work well with others
• Driven problem solver with proven success in solving difficult problems
• Consistently demonstrates quality and effectiveness in work documentation and organization

Desired Qualifications

• Experience with structured database management systems
• Experience with applying statistical methods (e.g. time series analysis, NLP, deep learning, or reinforcement learning)
• Hands-on experience with MLOps, model deployment, and CI/CD for data science workflows
• Exposure to distributed computing (e.g., Spark, Dask) and NoSQL databases
• Understanding of A/B testing and causal inference
• Experience working with unstructured data (text, images, audio, etc.)
• Familiarity with data visualization tools (i.e. Matplotlib, Seaborn)