14 May
Lead Data Scientist
Wisconsin, Milwaukee , 53201 Milwaukee USA

Vacancy expired!

Seeking a Lead Data Scientist for a client of ours in Milwaukee, WI. This is a remote, direct hire opportunity. If you are interested, please send your resume to Olivia at What's the role? Who We Are: Data Science and Analytics plays a key role in the Core Data and Analytics (CDA) organization. We leverage data to provide key insights, business intelligence and data science products that advance NM's strategic priorities. Role and Responsibilities: As a Lead Data Scientist, you will be a part of the Compliance team that delivers machine learning models and insights to ensure the company is adhering to strict regulations. Our successful candidate will be able to apply and integrate advanced statistical, mathematical, data mining, predictive modeling, and business analysis to discover and identify new insights. You will advance the work by helping to turn those insights into actionable outcomes. Through team exposure and interaction with business clients, you will be able to influence others by telling a story through data. Be prepared to visualize recommendations for forecasts, metrics, and complex data sets. You will share best practices with peers through coaching and mentoring around core methodologies, patterns, standards and processes. Responsibilities include but are not limited to:

  • Applies and integrates advanced statistical, mathematical, data mining, predictive modeling and business analysis skills and techniques to discover and identify new insights, predict and prescribe outcomes, advise on turning new insights into actionable opportunities and outcomes, and provide the tracking and measurement of results.
  • Develop solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets for productization and monetization. Models need constant refitting as data changes over time.
  • Identifies available internal and external data resources to develop and deliver information solutions, including analytical information.
  • Applies creative problem solving and inter-departmental networking to address data and information needs across the enterprise.
  • Shares best practices with peers through coaching and mentoring around core methodologies, patterns, standards and processes. • Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes
  • Through extensive analysis, this individual will discover technology improvement opportunities and will work with other teams to address these opportunities.
Qualifications:
  • Bachelor's degree in Data Science, Computer Science, MIS, math, statistics, business or related field. Master's degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field. advanced degrees, such as MS or PhD in Data Science, Statistics, Mathematics, or a related field is a big plus
  • 7+ years progressively responsible experience with a proven track record of leveraging analytics to drive significant business impact or to develop data/algorithm-based products Extensive experience working with data and developing, crafting and presenting analytics, including some programming experience and work with multiple data bases.
  • Expertise in one or more development or advanced analytical tools such as R, SAS, Python, Tableau Relational, and/or columnar data experience required. Expert level knowledge of advanced analytical model development and construction Proven ability to question assumptions, demonstrate relational analysis and integration of all components needed to solve problems, understand the scope and limitations of field data and communicate in writing and verbally the meaning, trends and issues of utilizing data for decision making.
  • Proven ability to build rapport, negotiate, gain the confidence and work successfully with home office leaders in a variety of areas across the company.
  • Proven ability to lead decision making process through idea sharing and consensus building.
  • Proven ability to frame-out rough ideas and transform them into data that illustrates outcomes. Must have ability to exercise judgment and discretion when presenting and explaining recommendations to field and home office leaders. Encourage innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes
  • Develop and deploy testing hypotheses and analyze test results, to ensure data quality, consistency, repeatability, and accuracy of insights Ability to tell business story with data.
  • Experience in coaching and mentoring staff members required. Proven management skills including negotiating, leadership, delegation, planning and organization. Proven track record in meeting aggressive deadlines.
  • Proficiency in cloud environments like Azure, AWS, or Google Cloud Platform including model deployment preferred
  • Passion for problem solving, research, quantitative analysis, and analytical working techniques
  • Extremely organized with high attention to details
  • Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels
  • Proven track record in meeting aggressive deadlines
EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .

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