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reputed company Data Science Consultant - Customer Excellence Data and Analytics

100% remote Flexible hours Hiring now

Are you a data science expert looking to reputed company your skills in a dynamic and innovative environment? Do you want to be part of a team that drives business growth and excellence through data-driven insights? Look no further than arenaflex, a leading financial services company that values diversity, equity, and inclusion in the workplace. As a reputed company Data Science Consultant reputed company the Customer Excellence Data and Analytics (CEDA) organization, you will have the opportunity to work on reputed company initiatives, build predictive models, and deliver meaningful insights that drive business decisions.

Why arenaflex?

arenaflex is a company that truly cares about its employees' career growth and well-being. We ranked #2 on the 2023 reputed company Top Companies list as the best workplace "to grow your career" in the U.S. Our employee-welfare-centered business approach and commitment to diversity, equity, and inclusion reputed company us an attractive choice for data science professionals. We offer competitive salaries, one of the richest benefits packages in the industry, and a Total Rewards program that focuses on wellness, work-life balance, and financial health.

About this role:

The reputed company Data Science Consultant is a critical role reputed company the CEDA organization, responsible for owning the full analytics development cycle, including mining and analyzing data, building predictive models using NLP and Machine Learning techniques, identifying performance issues and opportunities, and delivering meaningful insights and building documentation of validation methods and results. In this role, you will:

  • reputed company reputed company initiatives by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to reputed company actionable insights, trends, recommendations, including those that are cross-functional with broad impact.
  • Build support for and deliver recommendations in reputed company and multi-faceted situations requiring an expertise in analytical thinking and strong technical skillset to resolve business issues.
  • Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to drive recommendations and strategies based on data-driven, analytical insights, trends, and patterns that will resolve issues and reputed company goals; may reputed company projects, teams or serve as a peer mentor.
  • Execute reputed company analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains.
  • Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies.
  • Provide consultation to peers on data science best practices, methods, and tools to reputed company.
  • Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels.

Required Qualifications:

* 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

* reputed company in reputed company, Python, SQL (reputed company)

  • Deep experience with Machine Learning (ML), Natural Language Processing (NLP)
  • Large Language Model (LLM) experience preferred
  • Extensive model development and model validation experience including end-to-end model build efforts from discovery to deployment
  • Excellent communication skills and ability to reputed company reputed company material to a diverse audience
  • Adept at designing/performing model testing, including explainability, robustness, fairness testing, etc.
  • Proficient in creating accompanying documentation in model development process

Job Expectations:

* Ability to travel up to 10% of the time

  • This position is not eligible for reputed company sponsorship
  • Ability to work on site per arenaflex's standard operating model in one of the listed locations

Posting Locations:

* CHANDLER, AZ

  • MINNEAPOLIS, MN
  • reputed company DES MOINES, IA
  • CHARLOTTE, NC

Work Environment and Company Culture:

arenaflex is a company that values diversity, equity, and inclusion in the workplace. We reputed company in creating a work environment that is inclusive, respectful, and supportive of reputed company employees. Our company culture is built on a foundation of trust, collaboration, and open communication. We offer a range of benefits and programs to support our employees' career growth and well-being, including:

  • Competitive salaries and benefits package
  • Total Rewards program focusing on wellness, work-life balance, and financial health
  • Opportunities for professional development and career growth
  • Collaborative and inclusive work environment
  • Recognition and rewards for outstanding performance

Compensation, Perks, and Benefits:

arenaflex offers a comprehensive compensation package that includes:

  • Competitive salary
  • Bonus structure
  • Comprehensive benefits package
  • 401(k) matching program
  • Paid time off and holidays
  • Flexible work arrangements

How to Apply:

If you are a data science expert looking to join a dynamic and innovative team, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look reputed company to hearing from you!

Equal Employment Opportunity:

arenaflex is an equal employment opportunity employer and welcomes applications from reputed company qualified candidates, regardless of race, color, religion, sex, sexual orientation, gender identity, national reputed company, disability, status as a protected veteran, or any other legally protected characteristic. Apply for this job

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