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Remote Meta Data Science Jobs in New York (NOW HIRING)

AllyNd Partners

Sr. Data Scientist

New York, NY · Remote

... their data science team. Were seeking a Senior Data Scientist who thrives in high-autonomy ... remote with async-friendly culture * Health, dental, vision coverage + 401(k) * Unlimited PTO and ...

Meta

Scaled Business Growth

New York, NY · Remote

$161K/yr

Meta empowers millions of businesses to connect with customers and drive real business outcomes ... Execute on projects by working closely with Product, Sales, Data Science, and other partners.

Meta

Energy Analyst, New Transactions

New York, NY · On-site +1

$132K/yr

Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy ... data science teams Minimum Qualifications: * Bachelor's degree in a relevant technical field ...

Meta

Scaled Business Growth

New York, NY · Remote

$134K/yr

Meta empowers millions of businesses to connect with customers and drive real business outcomes ... Execute on projects by working closely with Product, Sales, Data Science, and other partners.

Similarweb

Product Data Science (Data Labs)

New York, NY · On-site +1

$100K - $140K/yr

... Meta, and OpenAI, to make game-changing decisions that drive their digital strategies. In 2021, we ... What does the day-to-day of a Product Data Science (Data Labs) at Similarweb look like: * Building ...

Similarweb

Product Data Science (Data Labs)

New York, NY · On-site +1

$100K - $140K/yr

... Meta, and OpenAI, to make game-changing decisions that drive their digital strategies. In 2021, we ... What does the day-to-day of a Product Data Science (Data Labs) at Similarweb look like: * Building ...

Meta

Creative Strategist

New York, NY · On-site +1

$73K/yr

Consultancy background * Data Science experience/knowledge * Demonstrated ongoing AI skill ... Meta builds technologies that help people connect, find communities, and grow businesses. When ...

Headspace

Principal Data Scientist

New York, NY · On-site +1

You will be designing analytical frameworks, developing data science products, and uncovering ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Mastech Digital

Data Scientist Specialist

New York, NY · Remote

$75 - $80/hr

Remote (10% Travel to Sunnyvale, CA) Salary: $75.00-$80.00/Hourly Role: Data Scientist Specialist Primary Skills: AI/ML Role Description: The Data Scientist Specialist must have 8+ years of ...

Mercor

Lead Data Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology ...

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Remote Meta Data Science information

What is the difference between Remote Meta Data Science vs Remote Data Analyst?

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

How does a remote Meta Data Science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

What is a Remote Meta Data Scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

What are the key skills and qualifications needed to thrive as a Remote Meta Data Scientist, and why are they important?

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.
What are the most commonly searched types of Meta Data Science jobs in New York? The most popular types of Meta Data Science jobs in New York are:
What are popular job titles related to Remote Meta Data Science jobs in New York? For Remote Meta Data Science jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Meta Data Science jobs in New York look for? The top searched job categories for Remote Meta Data Science jobs in New York are:
What cities in New York are hiring for Remote Meta Data Science jobs? Cities in New York with the most Remote Meta Data Science job openings:
Remote Meta Data Science jobs near you

Sr. Data Scientist

AllyNd Partners

New York, NY • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

About AllyNds Client

This client is a mission-driven FinTech startup democratizing credit with behavioral data. Their platform uses alternative signals like purchase behavior, mobile activity, and financial metadata to extend fair credit access to thin- and no-file users. With funding from FinTech-focused VCs and former Plaid/Credit Karma leadership on board, they are entering a high-growth phase and expanding their data science team.

Job Description

Were seeking a Senior Data Scientist who thrives in high-autonomy environments and wants to build ML systems that power life-changing financial decisions. Youll work on risk modeling, fraud detection, and explainable AI to make lending more equitable and intelligent.

Responsibilities

  • Build and productionize machine learning models for credit risk and fraud detection
  • Design real-time scoring systems using behavioral and transactional data
  • Conduct fairness analysis and build explainable AI tooling
  • Lead model validation, AB testing, and drift monitoring
  • Collaborate with data engineers and product managers on model-driven features
  • Contribute to data governance and regulatory compliance efforts

Required Skills

  • 7+ years of experience in data science, ideally in FinTech or financial risk modeling
  • Proficient in Python, SQL, and modeling tools like XGBoost, LightGBM, sklearn
  • Experience with real-time modeling, data pipelines, and stream processing
  • Knowledge of responsible AI practices and interpretability (SHAP, LIME)
  • Strong statistical background and experimental design skills

Preferred Skills

  • Experience with alternative credit models or underwriting
  • Familiarity with regulatory frameworks (FCRA, ECOA)
  • Exposure to tools like H2O.ai, Feature Store integrations, or custom explainers

Benefits

  • 100% remote with async-friendly culture
  • Health, dental, vision coverage + 401(k)
  • Unlimited PTO and mission-focused team

Apply