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Evening Data Scientist Machine Learning Jobs in New York

Nelo Mobile

Data Scientist (Machine Learning)

New York, NY · 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 ...

Nestlé S.A.

Senior Data Scientist

Bridgewater, NJ · On-site

$130 - $160/hr

We are looking for a Senior Data Scientist to develop and deploy advanced analytics and AI ... Experience applying machine learning techniques, including Regression, Clustering, Probability ...

Nestle

Senior Data Scientist

Bridgewater, NJ · On-site

Analyze large and complex datasets to identify patterns, build statistical and machine learning ... Integrate the latest data science innovations into product solutions, enhancing data, analytical ...

Valid8 Financial, Inc.

Data Scientist

Manhattan, NY · On-site

$120 - $170/hr

The Data Scientist will be responsible for designing, developing, evaluating, and optimizing machine learning models that solve complex business problems for our enterprise clients. This role ...

BMW Group

Lead Data Scientist

Woodcliff Lake, NJ · On-site

$181.71 - $201.30/hr

Lead Data Scientist Salary: $181,712.96- $201,300.00/ year. Duties : Lead the analysis of business ... machine learning methods, and recommend improvements; work with large data sets from inside and ...

SysMind Tech

Machine Learning

Manhattan, NY · On-site

$85/hr

Stay updated with the latest trends and technologies in data science and machine learning. Basic Qualifications: Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark Bachelor s degree in ...

BMW Group

Lead Data Scientist

Woodcliff Lake, NJ · On-site

$181K - $201K/yr

Lead Data Scientist Posting Start Date: 7/20/26 Job Location (Long): Woodcliff Lake, New Jersey ... machine learning methods, and recommend improvements; work with large data sets from inside and ...

Forhyre

Data Scientist

New York, NY

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... We also want to see a passion for machine-learning and research. Your goal will be to help our ...

MasterCard

Senior Data Scientist

New York, NY

Title and Summary Senior Data Scientist Overview: We are seeking a Senior Data Scientist to design ... Design, build, and deploy machine learning models for ad targeting, ranking, and bidding ...

ATG Entertainment USA

Data Scientist

Manhattan, NY · On-site

Data Scientist LOCATION: Remote (NYC Based office) HOURS: Full-Time, non-union. 40hrs/week ... Collaborate with Marketing and Engineering across the US and UK to define how machine learning ...

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All JobsEvening Data Scientist Machine Learning JobsEvening Data Scientist Machine Learning Jobs in New York

Evening Data Scientist Machine Learning information

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 are the most commonly searched types of Data Scientist Machine Learning jobs in New York?

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

Evening Data Scientist Machine Learning jobs near you

Data Scientist (Machine Learning)

Nelo Mobile

New York, NY • On-site

$180K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

About Nelo
Nelo is a leading fintech in Mexico reimagining credit to expand consumer buying power. Founded in 2019 by former Uber international growth team leads Kyle Miller and Stephen Hebson, Nelo offers credit cards, BNPL loans, bill payments, and its own marketplace - all under one app - designed from first principles for a mobile-first, real-time payments world.
With $100M in annual revenue, $1B in annualized GMV, and $140M+ raised in equity and debt, Nelo is one of the most capital-efficient consumer fintech companies in Latin America. The company is profitable - positive operating profit in both 2024 and 2025. It runs lean and technical: 60 employees, 8 engineers, with AI driving underwriting, collections, and operations.
  • HQ: Mexico City, Mexico; commercial and people operations in New York City
  • Founded: 2019
  • Team size: 60 FTEs
  • Open roles: 10+
  • Website: nelo.mx
  • Stage: Post-Series A; $100M credit facility (Victory Park Capital, 2022); profitable
  • Benefits: 401k, open PTO, medical, dental, vision, STD, LTD, fertility

Company values:
  • Be your best selves: ambition, hard work, intellectual curiosity
  • Everyone is an owner: all employees receive equity including customer support; 10-year option expiration; equity refreshers
  • Customer first: product decisions grounded in customer benefit
  • Open and honest communication: quarterly financials and board presentations shared company-wide; low tolerance for bureaucracy or gossip
  • 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 clicks or slightly improving recommendation engines.
This isn't that.
At Nelo, your models are the product. You are building the decision engine that determines who gets access to credit in an emerging market. This involves high-stakes constrained optimization problems where "good enough" mathematics will result in direct financial loss.
We are looking for the type of person who is frustrated by the "black box" approach of modern libraries and actually understands the statistical theory and causality behind the code. If you want to apply academic-level rigor to a P&L that is scaling rapidly, this is your seat.
What You'll Do:
  • Solve the "Why," not just the "What": You will design and deploy causal inference models to drive our underwriting and portfolio management strategies. Correlation isn't enough when you're managing risk.
  • Build the Core Engine: You will create and refine the algorithms for credit pricing, personalization, and ranking. Your code will directly impact the wallet of the consumer and the margin of the company.
  • Own the Infrastructure: You won't just hand off a Jupyter notebook to an engineer. You will lead ML infrastructure projects, ensuring observability and operational excellence for the models you build.
Who You Are:
  • You have deep theoretical roots. We are explicitly looking for candidates with a strong academic background (PhD preferred) who understand the first principles of classification, forecasting, and optimization.
  • You are a builder, not just a researcher. While you love the theory, you have at least 5 years of experience applying it in a production environment. You write production-grade Python and SQL.
  • You value velocity. You understand that a perfect model shipped next year is worth less than a great model shipped next week. You can balance intellectual rigor with the need to execute.
  • You are happy in NYC. This is an in-office role. We believe the hardest problems are solved when smart people are in the same room with a whiteboard.
What's on the Table
  • Significant Equity (You're building the company, you should own it).
  • 100% medical, dental & vision insurance coverage for you (50% for dependents).
  • Unlimited PTO (that we actually expect you to take).
  • 401(k).
  • Extended maternity and paternity leave.
  • Relocation support and Sabbatical program.
About the Process
We know you're busy, so we don't do 8-stage interviews.
  1. Quick chat with the Hiring Manager to align on expectations.
  2. A business case/technical assessment (relevant to the actual job).
  3. Onsite interview in NYC to meet the team.
  4. Offer.
This isn't a job for someone who wants to hide in the back office; it's for someone who wants their math to move the market.

Apply