Data Scientist 3

As a Level 3 Data Scientist, you will play a pivotal role in harnessing the power of data to drive informed decision-making. Your responsibilities will include:

• Data Analysis & Visualization: Create dynamic data visualizations that illuminate dataset structures and insights.
• Collaboration with Experts: Work closely with Subject Matter Experts (SMEs) to extract valuable information from diverse data formats (e.g., SQL tables, structured metadata, network logs).
• Feature Engineering: Incorporate SME insights into feature vectors, optimizing them for analytical development and testing.
• Quantitative Translation: Convert qualitative analysis processes and objectives into quantitative models for software prototypes.
• Analytics Development: Develop and implement statistical, machine learning, and heuristic techniques to generate descriptive, predictive, and prescriptive analytics.
• Experimentation: Design experiments to gather data or create models when existing datasets are lacking.
• Algorithm Selection & Tuning: Identify and fine-tune suitable algorithms for specific datasets, ensuring optimal performance.
• Performance Evaluation: Assess and validate analytics performance using established techniques and metrics such as cross-validation and ROC curves.
• Team Leadership: Guide and oversee the analytic development process, mentoring fellow data scientists in building scalable solutions.
• Production Integration: Collaborate with software engineers and cloud developers to transition prototyped analytics into production frameworks.
• Emerging Technologies: Stay abreast of cutting-edge machine learning and pattern recognition algorithms, integrating state-of-the-art solutions into your work.
• Delegation & Monitoring: Assign analysis responsibilities to team members and monitor their performance to ensure excellence.

Are you passionate about transforming data into actionable insights that support critical missions? At Farfield Systems, we have been dedicated to empowering the government contracting community for over 23 years, and we believe that the key to our success lies in our people. We prioritize our team members and foster a culture that is “employee driven…customer focused.” This philosophy not only enhances our work environment but also leads to exceptional service for our valued customers., * A Bachelor’s degree and a Master’s degree (or higher) in a quantitative discipline such as statistics, mathematics, operations research, engineering, or computer science.

• A minimum of 10 years of experience in analyzing datasets and developing analytics, along with 10 years of programming experience in data analysis software (R, Python, SAS, or MATLAB).
• An additional 2 years of experience in software development, cloud development, or related fields may substitute for a Master’s degree.
• A PhD in a quantitative discipline can replace up to 4 years of experience.

At Farfield Systems, we pride ourselves on our commitment to our team and our customers. If you’re ready to take your career to the next level and make a real impact, we want to hear from you!