Responsibilities
- Lead the design, development, and implementation of data analytics projects to solve complex business problems
- Utilize statistical and machine learning techniques to analyze large datasets and extract actionable insights
- Define analytical frameworks and partner with BI teams to deliver scalable reporting and insight products
- Conduct exploratory data analysis to understand the characteristics of datasets
- Develop and implement data preprocessing pipelines to ensure the quality and reliability of data for analysis
- Design and build dimensional models for use in analytics, reporting, and predictive ML solutions
- Lead the end-to-end process of developing, training, and deploying machine learning models (classification, regression, segmentation) for use cases such as customer segmentation, conversion propensity, churn, recommendations, and dynamic pricing
- Monitor model performance and refine models post deployment
- Solution and scope the efforts and resources needed to execute data science solutions
- Identify opportunities to create business value through data science projects
- Communicate findings and insights to both technical and non-technical audiences
- Collaborate with cross-functional team members, including data engineers, product managers, and business stakeholders, to successfully implement data solutions
- Work closely with other data scientists to align methodologies, review code, share best practices, and promote a cohesive approach to data science within the organization
Benefits
- Base rate along with, as applicable, short- and long-term incentives, growth and developmental opportunities, and robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings
Additional Information
- Per local requirements and in the interest of transparency, the hourly rate shown below reflects the prevalent current hiring range for this position.
- Hiring pay rates are based on a number of factors, including location and may vary depending on job-related qualifications, knowledge, skills and experience.
- The company strives to provide locally competitive rewards packages, which include base rate along with, as applicable, short- and long-term incentives, growth and developmental opportunities, and robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings.
- TKO is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding non-discrimination in employment.
- TKO makes employment decisions based on merit and qualifications, without considering an employee’s or applicant’s race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing non-discrimination in employment in every location in which the Company has facilities.
- TKO also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state or local laws.
