- Bachelor's degree plus 10 years of relevant experience.
- Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
- Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science.
- A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.
- A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
- Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorthms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproductibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain areas, and/or software engineering.
- Experience in more than three areas is strongly preferred.
- This Data Scientist position requires compiling various data sources via computer scripting, statistical analysis, data modeling, etc.
- Above market fixed salary or hourly pay.
- Up to $10,000 bonus for each referral.
- Additional bonuses for exceptional performance, assisting with business development and company growth.
- 100% paid premiums for health insurance. Choose from over 80 gold-level medical plans from Aetna, CareFirst, Kaiser and UnitedHealthcare. Choose from PPO, EPO, POS, HMO, and HSA-compatible.
- HSA and FSA options.
- 100% paid premiums for dental insurance.
- 100% paid premiums for vision insurance.
- 100% paid premiums for short-term disability.
- 100% paid premiums for long-term disability.
- 100% paid premiums for accidental death & dismemberment.
- 100% paid premiums for life insurance with a $200,000 max benefit.
- 8% company contribution to 401k with immediate vesting.
- 401k pre-tax and Roth options.
- Up to 20 days of flexible paid time off (PTO).
- 11 days of paid floating holidays.
- Flexible work schedules including flex time and compressed work period.
- Remote work including partial or fully remote (contract and project-dependent).
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Data Scientist Level 3 - Fort Meade, United States - Base-2 Solutions, LLC
Description
Base-2 Solutions is looking for a Data Scientist Level 3 that knows and understands larget Telco network traffic. The Data Scientist will be working with local SME in order to make sense of very large sets of data for picking out potential exploitation and lateral movement.Education Required
Pay & Benefit Highlights
Compensation
Equal Opportunity Employer
Base-2 Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
