2

Remote Political Science Data Analytics Jobs in New York

... Remote also will be considered for strong Contract US Citizens and Green card candidates only ... You'll work on cutting-edge problems in data analytics, machine learning, and predictive modeling ...

... Remote also will be considered for strong Contract US Citizens and Green card candidates only ... You'll work on cutting-edge problems in data analytics, machine learning, and predictive modeling ...

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

... life sciences. This role owns end-to-end delivery across multiple workstreams, establishes ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based ... analytics across multiple studies. KEY RESPONSIBILITIES: The RBQM Data Scientist may perform a ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Manager, Data Analytics

New York, NY · Remote

$111K - $145K/yr

This position is remote. Pay Transparency: The base pay for this role is: $111,034.80 - $145,733.18 ... Can lead a team of data analysts Requirements: * 4+ years of technical work experience using ...

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Prioritizes, scopes and manages data science projects for internal stakeholders and clients.

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Prioritizes, scopes and manages data science projects for internal stakeholders and clients.

Manager, Data Analytics

New York, NY · Remote

$111K - $145K/yr

This position is remote. Pay Transparency: The base pay for this role is: $111,034.80 - $145,733.18 ... Can lead a team of data analysts Requirements: * 4+ years of technical work experience using ...

Showing results 21-40

Remote Political Science Data Analytics information

What is the difference between Remote Political Science Data Analytics vs Political Data Analyst?

AspectRemote Political Science Data AnalyticsPolitical Data Analyst
Required CredentialsBachelor's or higher in Political Science, Data Analytics, or related fieldsBachelor's or higher in Political Science, Data Analytics, or related fields
Work EnvironmentRemote, often freelance or contract-basedTypically office-based or remote, depending on employer
Employer & Industry UsageGovernment agencies, research firms, NGOs, think tanksGovernment agencies, political campaigns, research organizations
Common Search & ComparisonYesYes

Remote Political Science Data Analytics involves analyzing political data remotely, often with a focus on research or policy. Political Data Analysts typically work on political campaigns or government projects, sometimes onsite. Both roles require similar credentials and are used across government and research sectors, but Remote Political Science Data Analytics emphasizes remote work flexibility.

What are the most commonly searched types of Political Science Data Analytics jobs in New York?

The most popular types of Political Science Data Analytics jobs in New York are:

What are popular job titles related to Remote Political Science Data Analytics jobs in New York?

For Remote Political Science Data Analytics jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Political Science Data Analytics jobs in New York look for?

The top searched job categories for Remote Political Science Data Analytics jobs in New York are:

What cities in New York are hiring for Remote Political Science Data Analytics jobs?

Cities in New York with the most Remote Political Science Data Analytics job openings:

Lead Data Scientist

3B Staffing LLC

Manhattan, NY • On-site, Remote

Full-time

Posted 7 days ago


Job description

4 pages resume

This Backfill for one our candidate so get us very strong candidate

Very Strong Communication

New York- Hybrid-Remote also will be considered for strong

Contract

US Citizens and Green card candidates only!

Client is a global consultancy specializing in designing and building next-generation digital products for leading investment banks, asset managers, hedge funds, and fintech innovators. We bring together strategy, design, and engineering to help our clients transform their businesses and stay ahead of the curve in a rapidly evolving landscape.

The Role: THE COMPANY is seeking a Lead Data Scientist to join our team and drive advanced data science solutions for one of our clients. This is a client-facing leadership role, blending deep technical expertise with the ability to advise stakeholders, shape data strategies, and guide teams to deliver high-impact outcomes. You'll work on cutting-edge problems in data analytics, machine learning, and predictive modeling, helping the client unlock the value of their data and enhance decision-making capabilities.

Responsibilities:

  • Partner with stakeholders to define data science opportunities, shape problem statements, and deliver impactful solutions.
  • Lead end-to-end data science projects-from exploration and modeling to deployment and performance monitoring.
  • Mentor and guide a team of data scientists and data engineers; set best practices for modeling, experimentation, and validation.
  • Design and implement predictive models, optimization frameworks, and machine learning algorithms tailored to complex business use cases.
  • Develop and present compelling visualizations to convey complex data relationships through clear and insightful static graphics.
  • Communicate complex technical concepts clearly to senior stakeholders, clients, and non-technical audiences.
  • Collaborate with Lab49's design and engineering teams to embed data science models into scalable digital products.
  • Stay ahead of industry trends, research, and emerging technologies in AI/ML, with a focus on practical business applications.

Qualifications

  • 8+ years of experience in data science, including at least 2-3 years in a lead/principal role.
  • Strong background in applied machine learning, statistical modeling, and predictive analytics.
  • Proficiency in Python (Pandas, NumPy, Scikit-learn, Matplotlib, PyTorch/TensorFlow) and SQL; experience with big data tools (Spark, Databricks) is a plus.
  • Strong understanding of model deployment, MLOps practices, and productionizing ML solutions.
  • Proven ability to create effective data visualizations for storytelling and decision support.
  • Excellent client-facing skills, with the ability to communicate technical concepts and business impact.
  • Master's or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.

Nice to Have

  • Some fluency in blockchain and smart contract analytics.