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Immediately Hiring Data Science Jobs (NOW HIRING)

OpenAI

Data Scientist, Safety

New York, NY · On-site

$265K - $380K/yr

We are hiring Data Scientists to help build the analytical foundations that allow OpenAI to deploy increasingly capable AI responsibly. We are hiring Data Scientists across several teams that ...

Apple

Senior Data Scientist, Apple Ads

Austin, TX · On-site

We are hiring Data Scientists across multiple teams and areas of focus within Apple Ads. Successful candidates may be considered for a variety of opportunities depending on their experience ...

Figma

Director, Data Science

San Francisco, CA · On-site +1

The AI Product's Data Science org is at the center of the next generation of products at Figma ... We believe in hiring smart, curious people who are excited to learn and develop their skills. If ...

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Immediately Hiring Data Science information

What does 'Immediately Hiring Data Science' mean?

'Immediately Hiring Data Science' refers to job postings where employers are urgently seeking candidates to fill data science positions as soon as possible. Data scientists analyze and interpret complex data to help organizations make informed decisions. These roles typically involve skills in statistics, programming, and machine learning. If a company is immediately hiring, it means the hiring process may move quickly, so candidates should be prepared to apply and interview promptly.

What are some common challenges new data scientists face when joining a team, and how can they overcome them?

New data scientists often face challenges such as understanding legacy code, adapting to existing data infrastructure, and aligning their work with business objectives. It's important to communicate regularly with team members and stakeholders to clarify project goals and expectations. Taking time to familiarize yourself with the company's data sources and tools, as well as actively seeking feedback, can help ease the transition and accelerate your impact on the team.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree or certification. Familiarity with programming languages like Python or R, data visualization tools, and machine learning platforms is typically required. Strong problem-solving abilities, communication skills, and curiosity help distinguish top performers in this field. These skills are vital for extracting actionable insights from complex data sets and driving data-driven decision-making within organizations.

What is the difference between Immediately Hiring Data Science vs Immediately Hiring Data Analyst?

AspectImmediately Hiring Data ScienceImmediately Hiring 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 Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams in tech, finance, or healthcare industries; project-based tasksBusiness environments, often in finance, marketing, or operations; focus on reporting and data interpretation
Employer & Industry UsageUsed by companies seeking advanced data modeling and predictive analyticsUsed by organizations needing data reporting, dashboards, and basic analysis

Immediately Hiring Data Science roles typically require advanced technical skills and focus on predictive modeling and machine learning, while Data Analyst positions emphasize data reporting and visualization. Both roles are in high demand but serve different functions within organizations.

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Immediately Hiring Data Science jobs near you
Infographic showing various Immediately Hiring Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data Scientist

Falls Church, VA • On-site

Darkhorse Geospatial LLC
See more jobs at Darkhorse Geospatial LLCexternal

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Re-posted 8 days ago

Job description

Darkhorse Geospatial is hiring Data Scientists to turn complex, high-volume data into mission-ready intelligence for our federal customer. You'll build analytics, AI/ML models, and data pipelines that answer hard questions — extracting, transforming, and modeling data from a wide range of sources, then communicating findings through clear visualizations, dashboards, and briefings. You'll work shoulder-to-shoulder with engineers, analysts, and operators to deliver tools that get used.

What You'll Do
  • Extract, transform, and load data from diverse systems using Python and SQL
  • Build and maintain data pipelines and ETL workflows for analytics and AI/ML
  • Develop, evaluate, and deploy AI/ML models — including large language models — to address mission needs
  • Conduct statistical, mathematical, geospatial, and data-mining analysis
  • Design dashboards, visualizations, and infographics (Tableau, Tableau Prep) that make complex data actionable
  • Package models as reliable services and operator-focused dashboards (MLOps)
  • Build schemas and data models; query relational, graph, and search databases
  • Consult with customers to clarify analytic requirements and recommend data-driven solutions
  • Brief technical and non-technical audiences; produce reports, decks, and user documentation
Core Skills We're Looking For
  • Strong proficiency in Python and SQL
  • Hands-on experience with data pipelines, ETL, and large/heterogeneous datasets
  • Applied AI/ML experience — model training, evaluation, and integration of pre-trained models (PyTorch, TensorFlow, scikit-learn)
  • Cloud compute environments (AWS preferred — EC2, S3, Lambda)
  • Data visualization with Tableau (or equivalent) and dashboard design
  • Statistical analysis, data modeling, and algorithm fundamentals
  • Clear written and oral communication with technical and non-technical audiences
Nice to Have
  • Containerization and MLOps (Docker, Kubernetes, model serving)
  • Graph databases and query languages (Neo4j, Cypher)
  • App frameworks for analytic UIs (Flask, Gradio, Streamlit)
  • Geospatial analysis and GIS tooling
  • Elastic / Kibana, Elastic Data Analyst certification
  • Experience working in a cloud or data lake environment
  • Familiarity with JIRA and Agile delivery
Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (or equivalent experience)
  • Active TS/SCI with Full Scope Poly
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