Research Data Scientist

We're hiring a Research Data Scientist who trains, tests and evaluates analytic and machine learning solutions that directly support decisions. You'll partner closely with business, data, and engineering teams to turn complex, ambiguous problems into reproducible models, experiments, and analytic decisions grounded in statistics and modern machine learning practices.

This position will work in a hybrid schedule of at least 3 days per week from either our Allen, TX or Charlotte, NC office. All positions may require an onsite interview or in‑person onboarding requirement to verify your identity.

This position is ineligible for immigration sponsorship and support. Please do not apply if you will need immigration support now or in the future.

The salary range for this position is $80,350–$100,000 and will be determined based on location and experience level.

• Apply knowledge of statistics, machine learning, programming and advanced mathematics to recognize patterns, identify opportunities, and drive decisions with data.
• Work with engineers to translate data science models into new products, services, and features. You will collaborate across organizations and teams internal consulting specialists on analytic challenges.
• Communicate findings to both business and IT teams in plain language to influence how the organization approaches analytic challenges.
• Explore and examine data from multiple disparate sources; review and analyze all incoming data with the goal of discovering previously hidden insights that can provide a competitive advantage or address a pressing business problem.
• Perform other duties as assigned.

• Minimum of 4 years of professional data science experience or a recently completed Master’s or PhD in Data Science, Statistics, Computer Science, or a related field, which may be considered in lieu of professional experience.
• Experience with Python and SQL:
  Python for modeling, scripting, and tooling beyond notebooks; SQL for non‑trivial queries including joins, aggregations, and window functions.
• Experience with Statistics and inference: hypothesis testing, confidence intervals, regression, and experimental or quasi‑experimental design – applied with rigor.
• Experience with ML training, evaluation, and explainability: end‑to‑end pipelines, cross‑validation, hyperparameter tuning, calibration, evaluation beyond a single metric, and XAI techniques (e.g., SHAP, LIME) where trust or accountability matter.

• Deep learning:
  Hands‑on experience with PyTorch or Keras/Tensor Flow – training, debugging, and evaluation beyond tutorial‑level notebooks.
• Experience with Time series and forecasting: stationarity, seasonality, leakage‑safe temporal validation, and evaluation appropriate to the forecasting horizon.
• MLOps:
  Familiarity with experiment tracking, model registries, and basic deployment and monitoring concepts (drift detection, rollback, latency/throughput).
• Broader ML domain experience: NLP, reinforcement learning, or tabular deep learning applied to real problems beyond toy examples.
• AI agents and LLM‑based systems:
  Exposure to tool‑using agents, RAG, or workflow automation with a focus on measurable impact, reliability, and responsible data use.
• Cloud and large‑scale data:
  Experience running training jobs or working with managed ML/compute services; comfort with messy, production‑grade data at scale.

At Jack Henry, we know we are better together. We value, respect, and protect the uniqueness each of us brings. Innovation flourishes by including all voices and makes our business – and our society – stronger. Jack Henry is an equal‑opportunity employer and we are committed to providing equal opportunity in all of our employment practices, including selection, hiring, performance management, promotion, transfer, compensation, benefits, education, training, social, and recreational activities to all persons regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, genetic information, pregnancy, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, and military and veteran status, or any other protected status protected by local, state or federal law.

No one will be subject to, and Jack Henry prohibits, any form of discipline, reprisal, intimidation, or retaliation for good faith reports or complaints of discrimination of any kind, pursuing any discrimination claim, or cooperating in related investigations.