Senior Data Scientist
New
B
BMC SoftwareMainframe software
This role can be based remotely in United StatesFull-TimeSenior
Salary152,925 - 254,875 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 8+ years of Data Science experience.
- Required Skills
- AWSPythonSQLMachine LearningNumpyPyTorchPandasTensorflowscikit-learn
Requirements
- 8+ years of data science experience.
- B.Sc. in Machine Learning, Statistics, Data Science, Physics, or a related field, or equivalent education and industry experience.
- Proficiency in Python, Pandas, NumPy, scikit-learn, and PyTorch or TensorFlow.
- Knowledge of statistical analysis, hypothesis testing, experimental design, data mining, and machine learning techniques.
- Experience designing performance metrics and evaluation approaches for predictive ML systems.
- Experience with SQL, modern data platforms, data exploration, and visualization.
- Familiarity with cloud platforms such as OpenShift (OCP) and AWS.
- Track record of influencing multiple teams through standards, metrics, or practices adopted by others.
- Experience coaching other data scientists.
- Ability to prioritize a science agenda for an area across initiatives.
Responsibilities
- Design machine learning solutions using statistical analysis, data mining, and machine learning techniques.
- Build, train, validate, and iterate predictive models for classification, regression, ranking, forecasting, anomaly detection, and clustering.
- Perform feature engineering, exploratory analysis, and experiment design to improve model quality.
- Collaborate with domain experts to understand business requirements and formulate data-driven solutions.
- Define offline and online metrics, holdout strategies, and monitoring signals for model performance and drift.
- Deliver rigorous, validated, reproducible models ready for enterprise use.
- Partner with engineering to package and deploy models into production and maintain clear handoffs.
- Partner with AI Engineering and AI Quality when predictive models or signals feed GenAI or agentic workflows.
- Lead a data science technical area and improve shared modeling, metrics, and experimentation practices across squads.
- Coach data scientists and partner with engineering and platform teams on reusable feature, evaluation, and productionization patterns.
View Full Description & ApplyYou'll be redirected to the employer's site
