Enterprise Senior Data Scientist AIML, Modeling, MLOPS
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Job Location:
Howard County, MD - USA
Monthly Salary:
$ 240000 - 265000
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We valuecreative problem-solvingopen communication andempowering our employeesto make decisions and put forth new ideas.
Our staff includes technical experts working across multiple disciplines bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of atechnicallystrongandgrowth-orientedcompany focused on bringinginnovative solutionsto the difficult mission problems facing our customers.
Description
We are seeking a Data Scientist that will develop machine learning data mining statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.
Clearance
A current Top-Secret/SCIwith polygraph security clearance (within 7 years) is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
ExperienceBachelors degree or higher from an accredited college or university in a quantitative discipline (e.g. statistics mathematics operations research engineering or computer science). 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 Bachelors degree. A Masters 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.
Required skills:
Referrals &Inquiries
Do you know a cleared professional seeking to advance their career Interested in earning some extra cash If so refer them to us with their name and contact details and you could be eligible for a referral bonus of up to$10000for each successful hire.
Not seeing the right position right now Reach out to us and well notify you as new contracts and opportunities become available!
Please send referrals and inquiries to:
To learn more about our company visit ourwebpageorLinkedIn.
Our staff includes technical experts working across multiple disciplines bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of atechnicallystrongandgrowth-orientedcompany focused on bringinginnovative solutionsto the difficult mission problems facing our customers.
Description
We are seeking a Data Scientist that will develop machine learning data mining statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.
Clearance
A current Top-Secret/SCIwith polygraph security clearance (within 7 years) is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
Experience
Required skills:
- Significant MLOPS and Data Science background
- 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
- Software engineering with data analysis software such as R Python SAS or MATLAB
Benefits
Erias Ventures provides a complete package of wealth health and happiness expected salary range for this position depending on education and years of experience is $240000 - $265000.
Wealth Benefits:
- Above Market Hourly Pay
- 11% RothorTraditional 401kwith Immediate Vesting and Deposit
- Spot Bonusesfor Assisting with Business Development and Company Growth
- Professional Development Bonusesfor Certificates and Degrees
- Company subsidizedMedicalCoverage
- 100%Company PaidVisionandDentalCoverage
- 100%Company PaidLong Term DisabilityShort Term Disability andGroup Life Insurance
- MonthlyWellness Reimbursement
- Paid Time OffwithFlexible WorkSchedules andBirthday Off
- Amazon Prime MembershipandMonthlyInternetReimbursement
- TechnologyandProductivity Allowancefor Equipment and Supplies
- Morale BuildingandCompany Eventsto Celebrate our Successes and Build our Community
- Onboarding and AnnualSwag
- Company Paid Professional DevelopmentandTraining
Referrals &Inquiries
Do you know a cleared professional seeking to advance their career Interested in earning some extra cash If so refer them to us with their name and contact details and you could be eligible for a referral bonus of up to$10000for each successful hire.
Not seeing the right position right now Reach out to us and well notify you as new contracts and opportunities become available!
Please send referrals and inquiries to:
To learn more about our company visit ourwebpageorLinkedIn.
Required Experience:
Senior IC
Key Skills
About Company
Erias Ventures brings an entrepreneurial mindset to solving the hard problems facing our customers.
