Data Scientist 2/3-FFLL-8910

Responsibilities

• Characterizing and understanding the entity data
• Determining if data standardization or normalization is required
• Evaluating various AI/ML approaches to performing entity resolution
• Determining the appropriate tools and models to leverage
• Designing and prototyping the end-to-end solution
• Evaluating the prototype output and performance
• Help with the eventual productization of the entity resolution solution

Requirements

• Experience With Developing software using Java, Python, GoLang or similar languages
• Working with and evaluating large data sets
• Developing data ingest and processing pipelines
• Working with and evaluating embedder/encoder models
• Developing feature vectors and working with vector databases such as Qdrant
• Working with software development teams

Qualifications

• Bachelor'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

Skills

• 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)
• Incorporate SME input into feature vectors suitable for analytic development and testing
• Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes
• 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
• Develop feature vectors for input into machine learning algorithms
• 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
• Guide analytic development toward solutions that can scale to large datasets
• Partner with software engineers and cloud developers to develop production analytics
• Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation
• Lead a team of data scientists in the development of multiple analytic efforts
• Work with customers and SMEs to define analytic requirements and guide the team in formulating analytics that meet requirements
• Guide the transition of prototyped analytics to production system
• 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

Pay

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

• Health Coverage: Medical, dental, and vision insurance
• Additional Insurance: Basic Life/AD&D, Voluntary Life/AD&D, Short and Long-Term Disability, Accident, Critical Illness, Hospitalization Indemnity, and Pet Insurance
• Retirement Plan: 401(k) plan with company match
• Paid Time Off: Generous PTO, paid holidays, parental leave, and more
• Wellness: Access to wellness programs and mental health support
• Professional Development: Opportunities for growth, including tuition reimbursement
• Additional Perks: Flexible work arrangements, including remote work options
• Flexible Spending Accounts (FSAs)
• Employee referral programs
• Bonus opportunities
• Tech allowance