Job Title: Lead Data Scientist
Reports to: Chief Revenue Officer 

Role Summary: As the Lead Data Scientist at inKind, you will be responsible for designing, building, and optimizing our data models and data infrastructure to enable and execute analysis-driven decision making and reporting. You will work closely with our data team and cross-functional stakeholders to deliver seamless data analytics to drive strategic decision-making, innovation, and enhance the overall data ecosystem. This role requires a strong technical background in SQL, Python, data modeling, and ETL processes, along with a deep understanding of analytics best practices.

Key Responsibilities

• Develop a deep analytic understanding of inKind’s product (both qualitative and quantitative) to provide data-based analytics to deliver innovation and optimization across user acquisition, engagement, and profitability
• Collaborate with cross-functional business teams including marketing, product, and strategy to translate business needs into robust and actionable solutions
• Clean and analyze robust user datasets to identify trends, patterns, and insights using statistical methods and software tools that can power forecasting and decision making
• Conduct data profiling and data quality analysis and convey results clearly to help business understanding of problems and effects
• Identify and fill reporting gaps in existing data infrastructure as well as maintaining data documentation
• Develop strategies to capture and utilize untapped analysis and data sets
• Ensure data integrity, accuracy, and accessibility across various business functions.
• Implement and manage data governance best practices
• Work with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift) and analytics tools (e.g., dbt, Looker, Tableau, Sigma) in addition to standing up a data science tool stack

Minimum Qualifications:

• 5+ Years of experience in data science, analytics engineering, data engineering, or a related role.
• Strong Python and SQL skills, plus experience with modern data warehouses (Snowflake, BigQuery, Redshift).
• Strong analytical abilities with the capacity to gather, arrange, organize, and communicate a substantial amount of information with accuracy and attention to detail
• Understanding of data modeling principles (Kimball, Star Schema, etc.).
• Familiarity with BI tools like Sigma, Looker, Tableau, or Mode Analytics.
• Strong problem-solving skills and ability to work cross-functionally with technical and non-technical teams.
• Passion for data-driven decision-making, improving business outcomes, restaurants and hospitality 

Preferred Qualifications:

• Bachelor’s degree in computer science, data science, mathematics, information sciences, statistics or related field or equivalent work experience
• Experience with feature engineering and supervised learning models
• Experience building and maintaining ETL pipelines.
• Previous startup experience

Work Environment:

• The candidate in this position will be primarily located in an office environment and be exposed to lighting, temperature, and noise level conditions typical of that environment
• This position is primarily in-person, with an expectation of in-person work at the physical office location in downtown Austin, Texas

Some of our Benefits: 

• Generous PTO and company holiday policy + company paid Short Term Disability
• 100% employer covered health and dental insurance for our direct employees (a set plan is covered, with higher tier healthcare coverage available at employee’s additional cost; dependent coverage is at employee’s cost); vision plan available at employee’s additional cost
• Child Care Benefits and generous parental leave
• Dog-friendly workspace in a secure building with great views of downtown Austin
• Daily lunches and snacks

Salary: 

• $155,000 - $170,000, DOE 

inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. 

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice.