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.

EEO/Disabled/Veterans

Job Information Technology

Primary Location US-WI-Appleton

Schedule: Full-time

Travel: Yes, 5 % of the Time

Req ID: 261541

LI-MF #CDB N/A

AZCO

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