Data Science Visionary and Operations Director

3 weeks ago

Houston, Texas, United States Experis Full time
Job Overview

Experis is seeking a seasoned Data Science Visionary and Operations Director to lead our data science team in Houston, TX. This is a full-time position that offers a competitive salary range of $120,000 - $180,000 per year, depending on experience.

Job Description

The Data Science Visionary and Operations Director will be responsible for managing a team of data scientists that mine and analyze complex data sets using advanced statistical methods. This role requires a strong understanding of machine learning techniques, advanced statistical concepts, and data science project life cycle. The ideal candidate will have experience in hospital settings, medical informatics, or healthcare information technology/finance/revenue cycle data management.

Responsibilities
  1. Manage a team that develops custom data models and algorithms to apply to data sets.
  2. Lead a team that maintains existing models and evaluates their goodness of fit.
  3. Develop and apply algorithms or models to key business metrics with the goal of improving operations or answering business questions.
  4. Lead complex issues and problems, and refer more complex issues to higher-level staff.
  5. Provide leadership, coaching, and/or mentoring to team members.
  6. Provide technical supervision/mentoring to other data scientists and train the broader audience on data science developments.
  7. Provide in-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools.
  8. Generate recommendations for plans, programs, strategies, policies, and budgets.
  9. Responsible for the design of algorithms that require different models/methods to be used together.
  10. Responsible for driving data quality throughout the organization.
  11. Responsible for managing teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes.
  12. Lead the evaluation of data science vendors and tools.
  13. Promote individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff.
  14. Demonstrate commitment to caring for every member of our community by creating compassionate and personalized experiences.
Requirements
  • Five (5) years of experience in data science required.
  • Two (2) years of formal or informal demonstrated leadership skills required.
  • Professional experience in hospital setting, medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred.
  • Ability to build the roadmap/vision and execute for the team.
  • Demonstrated ability to perform research, analysis, and modeling on organizational data.
  • Possesses a deep understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Demonstrated commitment to learning new tools and processes.
  • Ability to communicate, gather requirements and execute storytelling with data.
  • Possesses proficient level knowledge of the data science project life cycle.
  • Proficient programming skills in addition to working knowledge and experience of statistical analysis tools.
  • Demonstrates exceptional problem solving, analytical reasoning and decision-making skills.
  • Demonstrates proficiency in identifying and seeking needed information to perform problem/situation analysis.
  • Advanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources.
  • Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required.
  • Exhibits strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines.
  • Advanced understanding of SQL database management tools.
  • Exceptional analytical skills and ability to understand and interpret results based on advanced statistical techniques.
  • Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences.
  • Ability to work under minimal supervision in a fast-paced multidisciplinary environment.
  • Advanced knowledge of data science methods - time series forecasting, linear regression, A/B testing, statistical testing, Clustering, etc.
About Experis

Experis is a global workforce solutions company that helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 Experis was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.

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