Lead Data Scientist
Lead Data Scientist
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Job Description
Position : Lead Data Scientist
Client : inKind
Location : Austin TXfully onsite (need only local)
Experience : 10yrs
Visa : Only USC
Role Summary: As the Lead Data scientist you will be responsible for designing building and optimizing our data models and data infrastructure to enable and execute analysisdriven decision making and reporting. You will work closely with our data team and crossfunctional stakeholders to deliver seamless data analytics to drive strategic decisionmaking 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 product (both qualitative and quantitative) to provide databased analytics to deliver innovation and optimization across user acquisition engagement and profitability
Collaborate with crossfunctional 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 cloudbased 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 problemsolving skills and ability to work crossfunctionally with technical and nontechnical teams.
Passion for datadriven decisionmaking improving business outcomes restaurants and hospitality
Preferred Qualifications:
Bachelors 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 inperson with an expectation of inperson work at the physical office location in downtown Austin Texas
Please send your resumes to:
Employment Type
Full Time
