Jobs · Engineering · Maryland

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

Erias Ventures · Annapolis Junction, MD · 3 wk ago
Engineering$240k/yrFull-time
We need to output HTML fragment with sections: headings using

. Use
  • for lists. Use

    for prose. Do not repeat job title. No Job ID. Remove boilerplate: EEO, equal opportunity, referral stuff? The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. So we should remove the EEO paragraph, the Referrals & Inquiries part, and maybe the "At Erias Ventures, we are dedicated..." etc. Also remove "Please Send Referrals And Inquiries To jobs@eriasventures.com To learn more about our company visit our webpage or LinkedIn." Also remove "Clearance" maybe? Clearance is a requirement, we should keep it but not as heading unless we have a section. The instruction: Use

    for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we need to decide which sections have content. We have: - Intro about company: "Erias Ventures was founded to serve its customers..." This is about the company, could be "About the role" or "About the company". Probably "About the role" is for role description; but we have a description paragraph: "We are seeking a Data Scientist who will develop machine learning..." That's responsibilities. We have Clearance requirement: could be under Requirements or Qualifications. We have Experience: Bachelor's degree or higher... plus substitution. We have Required Skills: Significant MLOPS and Data Science background... list of items. We have Benefits: list of wealth, health, happiness benefits. We have Pay: salary range $240,000 - $265,000. We have Schedule? Not mentioned. Thus sections: About the role (maybe company overview), Responsibilities, Requirements (or Qualifications), Skills, Benefits, Pay. We must not create sections with filler. So include only those with real content. We need to preserve all substantive information, not invent or summarize away detail. So we need to include all details from the posting, except boilerplate removed. Let's extract substantive content: Company intro: "Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving, open communication, and empowering our employees to 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 a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers." That's about the company and what they seek. Could be placed under "About the role" or maybe "About the company". We'll use

    About the role

    and put that as

    . Responsibilities: The description after "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." We can put that as

    under Responsibilities. Clearance: "Clearance A current Top-Secret/SCI with polygraph security clearance (within 7 years) is required. Candidates cannot be sponsored or nominated for a government security clearance under this position." We can include under Requirements (or Qualifications). We'll put under Requirements. Experience: "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." We can include under Requirements as well, maybe separate bullet list? It's prose; we can put as

    . Required Skills: "Required Skills Significant MLOPS and Data Science backgroundA minimum of ten (10) years of experience in two (2) or more of the following:Designing/implementing machine learningData miningAdvanced analytical algorithmsAdvanced statistical analysisArtificial intelligenceSoftware engineering with data analysis software such as R, Python, SAS, or MATLAB" Note there is missing spacing; we need to parse: "Significant MLOPS and Data Science backgroundA minimum of ten (10) years of experience in two (2) or more of the following:" then list items. We'll format as

    for the lead sentence, then

    • for each item. Benefits: "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% Roth or Traditional 401k with Immediate Vesting and DepositSpot Bonuses for Assisting with Business Development and Company GrowthProfessional Development Bonuses for Certificates and Degrees Health Benefits: Company subsidized Medical Coverage100% Company Paid Vision and Dental Coverage100% Company Paid Long Term Disability, Short Term Disability, and Group Life InsuranceMonthly Wellness Reimbursement Happiness Benefits: Paid Time Off with Flexible Work Schedules and Birthday OffAmazon Prime Membership and Monthly Internet ReimbursementTechnology and Productivity Allowance for Equipment and SuppliesMorale Building and Company Events to Celebrate our Successes and Build our CommunityOnboarding and Annual SwagCompany Paid Professional Development and Training" We need to separate Pay from Benefits? The instruction: Use

      for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we should have separate Pay section for salary range. Benefits section for wealth, health, happiness benefits. Thus we need to extract Pay: "The expected salary range for this position, depending on education and years of experience is $240,000 - $265,000." That's the only pay info. Benefits: list of wealth, health, happiness benefits as described. We need to format benefits as list items. Let's parse benefits text: "Wealth Benefits Above Market Hourly Pay 11% Roth or Traditional 401k with Immediate Vesting and DepositSpot Bonuses for Assisting with Business Development and Company GrowthProfessional Development Bonuses for Certificates and Degrees" Seems missing punctuation. We'll split into items: - Above Market Hourly Pay 11% - Roth or Traditional 401k with Immediate Vesting and Deposit - Spot Bonuses for Assisting with Business Development and Company Growth - Professional Development Bonuses for Certificates and Degrees Health Benefits: "Company subsidized Medical Coverage100% Company Paid Vision and Dental Coverage100% Company Paid Long Term Disability, Short Term Disability, and Group Life InsuranceMonthly Wellness Reimbursement" Items: - Company subsidized Medical Coverage - 100% Company Paid Vision and Dental Coverage - 100% Company Paid Long Term Disability, Short Term Disability, and Group Life Insurance - Monthly Wellness Reimbursement Happiness Benefits: "Paid Time Off with Flexible Work Schedules and Birthday OffAmazon Prime Membership and Monthly Internet ReimbursementTechnology and Productivity Allowance for Equipment and SuppliesMorale Building and Company Events to Celebrate our Successes and Build our CommunityOnboarding and Annual SwagCompany Paid Professional Development and Training" Items: - Paid Time Off with Flexible Work Schedules and Birthday Off - Amazon Prime Membership and Monthly Internet Reimbursement - Technology and Productivity Allowance for Equipment and Supplies - Morale Building and Company Events to Celebrate our Successes and Build our Community - Onboarding and Annual Swag - Company Paid Professional Development and Training We'll output as
      • under Benefits. Now we need to ensure we don't include boilerplate: EEO paragraph, Referrals & Inquiries, etc. Also remove duplicated lines. Now produce HTML fragment:

        About the role

        Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving, open communication, and empowering our employees to 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 a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers.

        Responsibilities

        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.

        Requirements

        Clearance: A current Top-Secret/SCI with 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.

        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

        • Above Market Hourly Pay 11%
        • Roth or Traditional 401k with Immediate Vesting and Deposit
        • Spot Bonuses for Assisting with Business Development and Company Growth
        • Professional Development Bonuses for Certificates and Degrees
        • Company subsidized Medical Coverage
        • 100% Company Paid Vision and Dental Coverage
        • 100% Company Paid Long Term Disability, Short Term Disability, and Group Life Insurance
        • Monthly Wellness Reimbursement
        • Paid Time Off with Flexible Work Schedules and Birthday Off
        • Amazon Prime Membership and Monthly Internet Reimbursement
        • Technology and Productivity Allowance for Equipment and Supplies
        • Morale Building and Company Events to Celebrate our Successes and Build our Community
        • Onboarding and Annual Swag
        • Company Paid Professional Development and Training

        Pay

        The expected salary range for this position, depending on education and years of experience is $240,000 - $265,000.

        We need to ensure no extra sections like Schedule. Also ensure we didn't repeat job title. Good. Check for

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