Enterprise - Senior Data Scientist - AI/ML, Algorithms, MLOPS

Erias Ventures, LLC

Maryland

On-site

USD 240,000 - 265,000

Full time

7 days ago
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Benefits offered by this job

Above Market Compensation
Roth 401k with Immediate Vesting
Spot Bonuses
Professional Development Bonuses
Company-paid Medical Coverage
Vision & Dental Coverage
Disability & Life Insurance
Wellness Reimbursement
Paid Time Off & Flexible Schedules
Amazon Prime Membership
Internet Reimbursement
Equipment & Productivity Allowance
Morale Building Events
Annual Swag
Professional Development & Training

Job summary

Erias Ventures, LLC in Maryland is seeking a Data Scientist to develop ML, data mining, statistical and graph-based algorithms to analyze datasets and generate data-driven insights for customers. You will prototype models, compare approaches, and translate analyses into automated analytics for production environments.

A Top-Secret/SCI with polygraph clearance is required. You will collaborate with engineers and domain experts to build scalable analytics and reporting.

Qualifications

  • Bachelor’s degree or higher from an accredited college 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 Bachelor’s degree.
  • Significant MLOPS and Data Science background; a minimum of ten (10) years of experience in two or more areas such as designing/implementing ML, data mining, advanced analytical algorithms, statistics, AI, or related software engineering with data analysis tools.

Responsibilities

  • Develop machine learning, data mining, statistical and graph-based algorithms to analyze datasets and generate insights.
  • Prototype and compare multiple algorithms to select final models based on performance metrics.
  • Translate manual analyses into automated analytics and integrate prototype algorithms into production frameworks.

Skills

MLOps & Data Science
ML design/implementation
Data mining
Advanced analytical algorithms

Education

Bachelor’s degree or higher in quantitative field
Additional 4 years of related experience substitution

Tools

R
Python
SAS
MATLAB

Job description

Benefits
Erias Ventures provides a complete package of wealth, health, and happiness benefits.The expected salary range for this position, depending on education and years of experience is $240,000 - $265,000.
Wealth Benefits

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We valuecreative problem-solving,open 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 who 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
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). 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.
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 benefits.The expected salary range for this position, depending on education and years of experience is $240,000 - $265,000.
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
Health Benefits
  • Company subsidizedMedicalCoverage
  • 100%Company PaidVisionandDentalCoverage
  • 100%Company PaidLong Term Disability,Short Term Disability, andGroup Life Insurance
  • MonthlyWellness Reimbursement
Happiness Benefits
  • 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

At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran

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