Data Scientist 2/3-FFLL-8910

Developing feature vectors and working with vector databases such as Qdrant, Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics Develop statistical tests to make data-driven recommendations and decisions Develop experiments to collect data or models to simulate data when required data are unavailable, Identify the most appropriate algorithm for a given dataset and tune input and model parameters Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices) Oversee the development of individual analytic efforts and guide team in analytic development process, Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions Delegate analysis responsibilities to one or more team members and monitor performance.

Working with software development teamsBachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB. An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree. A Master's Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years of experience required. A Doctoral Degree from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years of experience required. Produce data visualizations that provide insight into dataset structure and meaning Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs)

Pulled from the full job description

• Tuition reimbursement
• Pet insurance
• AD&D insurance
• Parental leave
• Health insurance
• 401(k) matching
• Paid time off, Compensation: We are committed to providing fair and competitive compensation. The salary range for this position is $78,000 to $250,000 per year. This range reflects the compensation offered across the locations where we hire. The exact salary will be determined based on the candidate's work location, specific role, skill set, and level of expertise.

Benefits: We offer a comprehensive benefits package, including