Description
The Staff Data Scientist plays a critical role in leveraging data to drive business insights, optimize operations, and support strategic decision-making. You will be responsible for designing and implementing advanced analytical models, developing data pipelines, and applying statistical and machine learning techniques to solve complex business challenges. This position requires a balance of technical expertise, business acumen, and communication skills to translate data findings into actionable recommendations.
- Develop and apply data solutions for cleansing data to remove errors and review consistency.
- Perform analysis of data to discover information, business value, patterns and trends in support to guide development of asset business solutions.
- Gather data, find patterns and relationships and create prediction models to evaluate client assets.
- Conduct research and apply existing data science methods to business line problems.
- Monitor client assets and perform predictive and root cause analysis to identify adverse trends; choose best fit methods, define algorithms, and validate and deploy models to achieve desired results.
- Produce reports and visualizations to communicate technical results and interpretation of trends; effectively communicate findings and recommendations to all areas of the business.
- Collaborate with cross-functional stakeholders to assess needs, provide assistance and resolve problems.
- Translate business problems into data science solutions.
- Performs other duties as assigned
- Complies with all policies and standards
Qualifications
- Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience required or experience may be substituted for degree requirement required
- Experience in data mining and predictive analytics.
- Strong problem-solving skills, analytical thinking, attention to detail and hypothesis-driven approach.
- Excellent verbal/written communication, and the ability to present and explain technical concepts to business audiences.
- Proficiency with data visualization tools (Power BI, Tableau, or Python libraries).
- Experience with Azure Machine Learning, Databricks, or similar ML platforms.
- Expert proficiency in Python with pandas, scikit-learn, and statistical libraries.
- Advanced SQL skills and experience with large datasets.
- Experience with predictive modeling, time series analysis, and statistical inference.
- Knowledge of A/B testing, experimental design, and causal inference.
- Familiarity with computer vision for image/video analysis.
- Understanding of NLP techniques for document processing.
- Experience with optimization algorithms and operations research techniques preferred.
- Knowledge of machine learning algorithms, feature engineering, and model evaluation.
This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.
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