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Evening Data Scientist Machine Learning Jobs (NOW HIRING)

Athena Technology Group, Inc. (ATG)

ATG is an Equal Opportunity/Affirmative Action Employer Minorities/Females/Vets/Disability Job Summary We are seeking a Data Scientist / Machine Learning Engineer to support advanced analytics and ...

Teccon GmbH & Co. KG

... durch Machine Learning und AI und arbeitest mit Tools wie SAP BDC und MS Power Plattform * Du ... SAP Business Data Cloud & MS Power Plattform * Du bringst mehrere Jahre Erfahrung im ...

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How much do evening data scientist machine learning jobs pay per year?

As of Sep 10, 2026, the average yearly pay for evening data scientist machine learning in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Evening Data Scientist Machine Learning vs Evening Data Analyst?

AspectEvening Data Scientist Machine LearningEvening Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; knowledge of machine learning frameworksBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in data visualization tools
Work EnvironmentResearch-focused, developing models, programming in Python/R, working with large datasetsData reporting, cleaning, visualization, and basic statistical analysis
Employer & Industry UsageTech companies, finance, healthcare, research institutionsBusiness, marketing, retail, finance sectors

While both roles involve working with data in the evening, Evening Data Scientist Machine Learning focuses on developing predictive models and advanced algorithms, requiring programming and machine learning expertise. In contrast, Evening Data Analyst emphasizes data interpretation, reporting, and visualization, often with less emphasis on complex modeling. The roles differ mainly in technical depth and scope but share a common goal of deriving insights from data during evening hours.

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Cities with the most Evening Data Scientist Machine Learning job openings:

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Evening Data Scientist Machine Learning jobs near you

Data Scientist / Machine Learning Engineer with Security Clearance

On-site

Athena Technology Group, Inc. (ATG)
Public Administration • 51 - 200 employees
Learn more about Athena Technology Group, Inc. (ATG)external

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 23 days ago

Key responsibilities

  • Develop and deploy machine learning models to support mission-critical operations.

  • Process large-scale structured and unstructured data, including high-volume and high-velocity data streams.

  • Create Python-based tools and environments for data analysis and machine learning applications.

Job description

About the Company Athena Technology Group, Inc. (ATG) is a Service-Disabled Veteran Owned Small Business (SDVOSB) focused on Information Technology and Communications consulting, system engineering, integration, deployment and operation of state of the art command and control and information systems that deliver critical network centric solution to the warfighter. With a proven track record of technical support to our customers, we are looking for innovative industry professionals to join our team. ATG is an Equal Opportunity/Affirmative Action Employer Minorities/Females/Vets/Disability Job Summary We are seeking a Data Scientist / Machine Learning Engineer to support advanced analytics and data science initiatives at Fort Eisenhower, GA under the IAE program. The selected candidate will develop and deploy machine learning models, process large-scale structured and unstructured data, and provide actionable insights to support mission-critical operations. Key Responsibilities * Curate and develop structured and unstructured data foundations in coordination with stakeholders * Process modeling data and perform advanced analytics * Apply machine learning, natural language processing, and network analysis techniques * Develop innovative approaches to analyze large-scale unstructured datasets * Process and index high-volume and high-velocity data streams * Develop Python-based tools and packages for data analysis and machine learning applications * Deploy and maintain notebook-based data science environments such as JupyterHub * Visualize data insights using multi-dimensional analytical tools Qualifications Required: * Active TS/SCI clearance with CI Poly and ability to obtain MEAD SIP clearance * Bachelor’s degree with 10+ years of experience, Master’s with 3–6+ years, or equivalent experience * Strong Python development experience with data science and machine learning libraries (pandas, scikit-learn, PyTorch/TensorFlow, matplotlib/plotly, networkx) * Experience with supervised and unsupervised machine learning, NLP, and network analysis * Experience maintaining and deploying JupyterHub or similar environments * Strong background in mathematics, statistics, engineering, or physics * Experience analyzing complex datasets and delivering actionable insights Desired: * IAM Level I certification * Experience with high-performance computing environments * Experience supporting DoD or intelligence community analytics programs Physical and Environmental Conditions Normal Office Environment. Requires Sitting, Standing, Near Acuity, Speaking with colleagues and customers, Listening, Sight, Use of hands/fingers. Additional Benefits * Performance Bonuses and annual salary reviews * Health, dental, and vision insurance * Short Term Disability, Long Term Disability, and Life Insurance * 401(k) plan with company match * Opportunities for professional growth and development * A collaborative and inclusive work environment EEO Statement ATG is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law.

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