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  • AZCO Data Scientist - IT (Appleton, WI)

    AZCO (Appleton, WI)



    Apply Now

    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:** 253790

    \#LI-JN #ACO N/A



    Apply Now



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