Introduction to arenaflex
arenaflex is a leading organization that values innovation, diversity, and employee growth. We are committed to providing a workplace where our employees can thrive, learn, and contribute to the company's success. As a company, we prioritize our employees' career aspirations and growth, offering competitive salaries, a comprehensive benefits package, and a focus on wellness and work-life balance. Our Total Rewards program is designed to support the financial health and well-being of our employees, recognizing that our customers' investments in us are matched by our investments in our team members.
About the Role
arenaflex is seeking a highly skilled and experienced Lead Data Science Consultant to join our Customer Excellence Data and Analytics (CEDA) organization. As a Lead Data Science Consultant, you will be responsible for owning the full analytics development cycle, including data mining, analysis, building predictive models using Natural Language Processing (NLP) and Machine Learning techniques, identifying performance issues and opportunities, delivering meaningful insights, and creating documentation of validation methods and results.
Key Responsibilities
- Lead complex initiatives by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, including those that are cross-functional with broad impact.
- Build support for and deliver recommendations in complex and multi-faceted situations requiring expertise in analytical thinking and a 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 achieve goals; may lead projects, teams, or serve as a peer mentor.
- Execute complex 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 leverage.
- Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels.
Essential Qualifications
To be successful in this role, you will need:
- 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
- A Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
Desired Qualifications
While not essential, the following qualifications are highly desirable:
- Fluency in SAS, Python, SQL (Teradata).
- Deep experience with Machine Learning (ML), Natural Language Processing (NLP), and Large Language Model (LLM) experience.
- Extensive model development and model validation experience, including end-to-end model build efforts from discovery to deployment.
- Excellent communication skills and the ability to articulate complex material to a diverse audience.
- Adept at designing/performing model testing, including explainability, robustness, fairness testing, etc.
- Proficient in creating accompanying documentation in the model development process.
Skills and Competencies
To excel in this role, you will need to possess:
- Strong analytical and problem-solving skills, with the ability to think critically and creatively.
- Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels.
- A strong technical skillset, including proficiency in programming languages such as Python, SAS, and SQL.
- Experience with data visualization tools and techniques, with the ability to communicate complex data insights to non-technical stakeholders.
- A strong understanding of data science concepts, including machine learning, natural language processing, and statistical modeling.
Career Growth Opportunities and Learning Benefits
At arenaflex, we are committed to supporting the career growth and development of our employees. As a Lead Data Science Consultant, you will have access to:
- Opportunities for professional development and growth, including training and education programs.
- A collaborative and dynamic work environment, with a team of experienced professionals who are passionate about data science and analytics.
- A culture that values innovation, creativity, and experimentation, with the freedom to try new approaches and solutions.
- A comprehensive benefits package, including competitive salary, health insurance, retirement savings, and paid time off.
Work Environment and Company Culture
arenaflex is a company that values diversity, equity, and inclusion, and we are committed to creating a workplace that is welcoming and inclusive to all employees. Our company culture is built on a foundation of:
- Respect and empathy for all employees, regardless of their background, culture, or identity.
- A commitment to diversity, equity, and inclusion, with a focus on creating a workplace that is representative of the communities we serve.
- A culture of innovation and experimentation, with a willingness to try new approaches and solutions.
- A focus on employee well-being and work-life balance, with a comprehensive benefits package and a supportive work environment.
Compensation, Perks, and Benefits
As a Lead Data Science Consultant at arenaflex, you can expect:
- A competitive salary and benefits package, including health insurance, retirement savings, and paid time off.
- A comprehensive benefits package that includes wellness programs, employee assistance programs, and professional development opportunities.
- A dynamic and collaborative work environment, with a team of experienced professionals who are passionate about data science and analytics.
- Opportunities for professional growth and development, including training and education programs.
Conclusion
If you are a motivated and experienced data science professional who is looking for a new challenge, we encourage you to apply for the Lead Data Science Consultant role at arenaflex. With a strong focus on innovation, diversity, and employee growth, we offer a unique and rewarding work environment that is designed to support your career aspirations and goals. Apply today to join our team of experienced professionals and contribute to the success of our organization.
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