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Lead Data Scientist

Veracity Software Inc

Austin (TX)

On-site

USD 93,000 - 149,000

Full time

4 days ago
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Job summary

An established industry player is seeking a Lead Data Scientist to drive data-driven decision-making and enhance their data ecosystem. In this dynamic role, you will design and optimize data models while collaborating with multiple teams to deliver actionable insights. Your expertise in Python and SQL, along with your experience in modern data warehouses, will be crucial as you tackle complex data challenges. This fully onsite position in Austin offers a unique opportunity to contribute to innovative solutions that impact business outcomes and drive strategic initiatives.

Qualifications

  • 5+ years in data science or related roles.
  • Strong analytical abilities and attention to detail.
  • Experience with data governance best practices.

Responsibilities

  • Develop analytics to optimize user acquisition and profitability.
  • Collaborate with teams to translate business needs into solutions.
  • Ensure data integrity and accessibility across functions.

Skills

Python
SQL
Data Modeling
ETL Processes
Statistical Analysis
Data Governance
Problem-Solving

Education

Bachelor's degree in Computer Science
Equivalent work experience

Tools

Snowflake
BigQuery
Redshift
dbt
Looker
Tableau
Sigma

Job description

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Austin, TX-fully onsite in-person (need only local)

6 Month Contract

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 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 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

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Other
  • Industries
    IT Services and IT Consulting

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