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60 Hudson Manpower Jobs Hiring Near You

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Job Summary We are seeking an experienced Data Scientist to drive causal inference, experimentation, measurement, personalization, and applied AI initiatives. The ideal candidate will have hands-on ...

Hudson Manpower

Java Developer V

Cincinnati, OH · On-site

$49 - $63.25/hr

Job Title: Java Developer V Location: Cincinnati, OH - ONSITE TOP SKILLS: Must Have Excellent written and verbal communication skills Git Java Software Development Logging/Monitoring Tools such as ...

Hudson Manpower

Lead Business Analyst

Dayton, OH · On-site

Position Summary Seeking an experienced Lead Business Analyst to serve as the bridge between business stakeholders and technical delivery teams supporting enterprise Oracle Cloud and Oracle CPQ ...

Hudson Manpower

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Job Title: Data Engineer IV Location: Cincinnati, OH - onsite Payrate $70/hr on W2. USC and GC Holder candidates only. TOP SKILLS: Must Have Python SQL Nice To Have AWS Sagemaker DBT Snowflake What ...

Hudson Manpower

Android Software Engineer

Dallas, TX · On-site +1

$55 - $60/hr

Job Summary We are seeking a seasoned Android Software Engineer to join our mobile development team and play a key role in evolving our existing Android application. The ideal candidate will have ...

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Infographic showing various job openings at Hudson Manpower in the United States as of August 2026, with employment types broken down into 69% Full Time, and 31% Contract. Highlights an 76% Physical, and 24% Remote job distribution.

Data Scientist

Hudson Manpower

Cincinnati, OH • On-site

$55 - $60/hr

Full-time

Posted 19 days ago

Job description

Job Summary
We are seeking an experienced Data Scientist to drive causal inference, experimentation, measurement, personalization, and applied AI initiatives. The ideal candidate will have hands-on experience applying causal inference and econometric techniques to measure business impact, build production-ready machine learning solutions, and translate analytical insights into measurable business outcomes. Experience with Generative AI is a plus but not the primary requirement.
Key Responsibilities
  • Design and implement causal inference and causal machine learning solutions.
  • Measure the impact of business treatments on customer behavior, revenue, retention, and engagement.
  • Apply statistical methods including:
    • Difference-in-Differences
    • Matching
    • Panel Data Models
    • CATE Estimation
    • Uplift Modeling
    • Heterogeneous Treatment Effect Modeling
  • Define treatments, control groups, counterfactuals, outcome metrics, and evaluation windows.
  • Build scalable, production-ready ML pipelines using software engineering and MLOps best practices.
  • Partner with business and product teams to convert business problems into scientific solutions.
  • Develop and integrate Generative AI solutions including RAG, prompt engineering, LLM workflows, fine-tuning, and agentic AI where applicable.
  • Evaluate emerging AI/ML technologies for production adoption.
  • Present technical findings and business impact to both technical and non-technical stakeholders.
  • Provide technical guidance and code reviews to team members.

Required Qualifications
  • 3+ years of applied Data Science experience.
  • Strong experience with causal inference, causal ML, econometrics, or experimentation.
  • Experience measuring treatment effects and incremental business impact.
  • Hands-on experience with:
    • Difference-in-Differences
    • Matching
    • CATE
    • Panel Data Analysis
    • Uplift Modeling
    • Heterogeneous Treatment Effects
  • Strong Python and SQL programming skills.
  • Experience with Git.
  • Experience developing production-quality ML or analytics solutions.
  • Strong analytical, communication, and problem-solving skills.
  • Bachelor's or Master's degree in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or related quantitative field.

Preferred Qualifications
  • Experience with Generative AI, RAG, Prompt Engineering, Fine-tuning, LLM Evaluation, or Agentic AI.
  • Experience with Azure, Databricks, or similar cloud platforms.
  • Experience with MLOps, deployment, orchestration, monitoring, and model lifecycle management.
  • Experience building experimentation platforms or measurement pipelines.
  • Retail, CPG, media, personalization, loyalty, or customer analytics experience.
  • Experience mentoring technical teams.

Apply