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Evening Data Scientist Machine Learning Jobs (NOW HIRING)

Data Scientist, Machine Learning

Greenwich, CT ยท On-site

$180K - $200K/yr

Partner directly with quantitative researchers to understand the needs of a specific machine learning project and collaboratively produce data that best fits the model and project * Transform raw ...

Data Scientist, Machine Learning

Greenwich, CT ยท On-site

$180K - $200K/yr

Partner directly with quantitative researchers to understand the needs of a specific machine learning project and collaboratively produce data that best fits the model and project * Transform raw ...

DATA SCIENTIST

San Diego, CA ยท On-site

$120K - $150K/yr

iQuasar is seeking to fill an Data Scientist/Machine Learning Engineerin San Diego, CA. At iQuasar, we strive to provide the next generation of cutting-edge technologies. Our growth means exciting ...

DATA SCIENTIST

San Diego, CA ยท On-site

$120K - $150K/yr

iQuasar is seeking to fill an Data Scientist/Machine Learning Engineerin San Diego, CA. At iQuasar, we strive to provide the next generation of cutting-edge technologies. Our growth means exciting ...

No As the Senior Data Scientist for Machine Learning supporting the Healthcare Fraud Prevention Partnership (HFPP), you will be the first dedicated machine learning practitioner at the Trusted Third ...

So what's the job As a Senior Machine Learning Data Scientist in the Data Team at Catawiki you will focus on delivering scalable and impactful data products. You'll work closely with our product and ...

Data Scientist (Machine Learning)

New York, NY ยท On-site

$180K - $230K/yr

Move fast, learn fast: hundreds of experiments run monthly; rigorous experimentation culture Why this Role is Different Most Data Science roles currently on the market are focused on optimizing ad ...

Data Scientist / Machine Learning Engineer Position Overview As a Data Scientist / Machine Learning Engineer on our AI Builder program, you will design, develop, and operationalize advanced analytics ...

Hybrid onsite Tuesday Wednesday and Thursday Data Scientist / Machine Learning Engineer Position Overview As a Data Scientist / Machine Learning Engineer on our AI Builder program, you will design ...

Showing results 21-40

Evening Data Scientist Machine Learning information

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$37.5K

$122.7K

$196.5K

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.

What cities are hiring for Evening Data Scientist Machine Learning jobs?

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What are the most commonly searched types of Data Scientist Machine Learning jobs?

The most popular types of Data Scientist Machine Learning jobs are:

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Senior Data Scientist Machine Learning & AI

VA โ€ข Remote

Team Velocity
Internet and ITย โ€ขย 201 - 500 employees

$140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Senior Data Scientist Machine Learning & AI
Remote | Full-Time |

Team Velocity is seeking a Senior Data Scientist to develop and deploy machine learning, predictive analytics, and AI solutions that improve customer engagement, marketing performance, operational efficiency, and business intelligence.

This is a hands-on role for an experienced data scientist who can take models from data exploration and development through production deployment, monitoring, and optimization. You will partner with Product, Data Engineering, Software Engineering, Analytics, and business leadership to deliver measurable business impact.

This is a full-time remote position. Candidates must reside in the Continental U.S. and be able to support an 8:30 AM5:30 PM ET business hours. Eastern and Central Time Zones highly preferred.

KEY RESPONSIBILITIES

  • Design, build, evaluate, and deploy production machine learning models.
  • Develop predictive models for churn, propensity, lead scoring, customer lifetime value, recommendations, forecasting, personalization, and marketing attribution.
  • Perform statistical analysis, hypothesis testing, A/B testing, causal inference, and time-series analysis.
  • Build feature engineering, model training, and inference pipelines.
  • Deploy and monitor ML models, including model performance, drift detection, and retraining.
  • Apply Generative AI, LLMs, RAG, and vector databases to business and customer applications.
  • Partner with Product, Engineering, Analytics, and leadership to translate business problems into scalable data science solutions.
  • Mentor junior data scientists and establish best practices for model development, documentation, and code quality.

REQUIREMENTS

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field; Master's or PhD preferred.
  • 5+ years | Python + SQL | production ML | predictive modeling | model deployment | MLOps | cloud | measurable business impact
  • Proven ability to deliver measurable business impact through data science and machine learning.
  • Strong communication, analytical, and business problem-solving skills.
  • Expert Python and SQL skills.

TECHNICAL EXPERIENCE

  • Machine Learning: XGBoost, LightGBM, Random Forest, Neural Networks, Deep Learning
  • Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, causal inference, time series
  • Data & Cloud: Snowflake, dbt, Spark, Airflow, GCP preferred; AWS or Azure considered
  • MLOps: MLflow, Kubeflow, Vertex AI, feature stores, CI/CD, model monitoring
  • AI/LLMs: OpenAI, Gemini, Claude, LangChain, LangGraph, RAG, embeddings, vector databases
  • Experience with data quality and observability tools such as Great Expectations or Monte Carlo is a plus.

*You do not need experience with every technology listed above. Strong production machine learning experience is the priority.

Preferred Experience

  • Large-scale customer or behavioral data
  • Marketing analytics, personalization, or customer intelligence
  • SaaS, automotive, retail, advertising, or marketing technology
  • Real-time inference or streaming data
  • Production Generative AI applications

COMPENSATION & BENEFITS
The expected starting salary is $140,000 annually, based on experience, skills, and qualifications. Benefits include medical, dental, vision, 401(k) matching, unlimited paid leave, wellness programs, and more.

NEXT STEPS
If you meet the requirements, and are interested in applying for this role, please complete the online employment application and be sure to upload a current resume and current contact information.

About Team Velocity
Team Velocity is a full-service marketing and technology company serving automotive manufacturers and dealerships nationwide. Our proprietary Apollo technology platform uses data, predictive analytics, and AI to predict consumer behavior, personalize marketing, and help dealerships increase sales and service revenue.

Join us in applying data science, machine learning, and AI to real-world business problems at scale.