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inKind · 8 hours ago

Data Scientist

Austin, in-person

Full-time

Onsite

Mid, Senior Level

$120K/yr - $140K/yr

3+ years exp

inKind is a fast-growing start-up seeking a Data Scientist responsible for gathering and analyzing large datasets to drive predictive forecasts and business decisions. The role involves collaborating with cross-functional teams to deliver actionable insights and enhance platform performance through data-driven models and automated processes.

E-CommerceFinTechFood and BeverageGift CardLocal BusinessRestaurantsSmall and Medium Businesses

Responsibilities

Develop a deep analytic understanding of inKind’s product that will serve as the backbone for developing data-science driven models to innovate, automate, and optimize user acquisition, engagement, and profitability

Continuously validate assumptions through experimentation and real-world performance of models

Gather data from various sources, then clean, combine, transform, and prepare for analysis, modeling, and forecasting

Design datasets for optimal feature engineering

Analyze large datasets to uncover trends, patterns, and opportunities using statistical methods, predictive modeling, AI tools, and machine learning

Develop and refine models to improve forecasting and power both automated and ad hoc decision-making

Continually update and refine data models to drive better results

Collaborate with cross-functional business teams including data, marketing, product, and finance to translate business needs into robust and actionable solutions

Develop and deploy automated, repeatable, and scalable data-driven actions and processes

Integrate outputs into bespoke tests, marketing campaigns and product workflows

Present findings, work product, and recommendations to both technical and non-technical stakeholders

Work with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift) and analytics tools (e.g., dbt, Sigma, Looker, Tableau) in addition to standing up a data science tool stack

Qualification

PythonSQLSnowflakeData modelingETL processesSupervised learningBI toolsCross-functional communicationData-driven decision-makingProblem-solving

Required

3-5+ years of experience in data science, analytics engineering, data engineering, or related role

Strong Python, SQL, R, and Snowflake Cortex AI experience

Robust analytical abilities with the capacity to gather, arrange, and organize, a substantial amount of information with accuracy and attention to detail

Understanding of data modeling principles (Kimball, Star Schema, etc.)

Experience with supervised learning methods (Random Forest, Gradient Boosting, and regression models), including feature engineering and model evaluation

Familiarity with BI tools like Sigma, Looker, Power BI, Tableau, or Mode Analytics

Strong problem-solving skills

The ability to work cross-functionally and communicate effectively with technical and non-technical teams

Passion for data-driven decision-making and improving business outcomes

Must love restaurants and hospitality

Preferred

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

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