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Onyx Point, LLC. · 14 hours ago

Data Scientist Skill Level 2

Montgomery County, MD

Full-time

Hybrid

Senior Level

$78K/yr - $275K/yr

5+ years exp

Onyx Point, LLC. is seeking a Data Scientist to develop machine learning and statistical algorithms for data analysis. The role involves building models, generating reports, and collaborating with subject matter experts to automate analytics and provide data-driven insights.

ComputerInformation TechnologySmall and Medium BusinessesSoftware

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

Qualification

PythonRMachine LearningStatistical AnalysisSQLData VisualizationData WranglingDatabase ManagementSoft Skills

Required

Currently have an active TS/SCI with polygraph security clearance with the federal government

U.S. citizenship required

This position requires a poly, within 7 years

Proficiency in programming languages such as Python and R

Strong foundation in statistics and probability

Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn)

Ability to clean and organize complex datasets

Familiarity with SQL and database management systems (like PostgreSQL and MongoDB)

Skills in data visualization tools (such as Tableau and Matplotlib)

Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)

Five (5) years of experience analyzing datasets and developing analytics

Five (5) years of experience programming 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 PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience

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

Flexible work arrangements, including remote work options

Flexible Spending Accounts (FSAs)

Employee referral programs

Bonus opportunities

Technology allowance

A diverse, inclusive, and supportive workplace culture