What are the responsibilities and job description for the Lead Data Scientist position at Thinking Minds Inc.?
Job Details
Job Summary:
Location: Austin TX
Experience: 5 years
Job Type: Permanent
Ideal Candidate Should Have:
Expertise in SQL, Python, and data modeling for analytics and decision-making.
Experience working with modern data warehouses (Snowflake, BigQuery, Redshift).
Strong analytical skills and ability to interpret complex datasets.
Familiarity with BI tools such as Looker, Tableau, or Sigma.
Background in ETL processes, data governance, and cloud-based analytics.
Ability to collaborate cross-functionally with marketing, product, and strategy teams.
Passion for data-driven insights and problem-solving.
Job Description:
Thinking Minds Inc.'s client is looking for a Lead Data Scientist to design, build, and optimize data models and infrastructure to drive analytics and business decision-making. This role requires strong technical expertise in SQL, Python, ETL processes, and data modeling, as well as experience working with modern data warehouses and BI tools.
Key Responsibilities:
Develop data models and infrastructure to support analytics-driven decision-making.
Collaborate with marketing, product, and strategy teams to translate business needs into actionable insights.
Perform data profiling, cleansing, and analysis to uncover trends and support forecasting.
Identify reporting gaps and enhance existing data documentation.
Implement data governance best practices to ensure data integrity and accessibility.
Work with cloud-based data warehouses such as Snowflake, BigQuery, and Redshift.
Utilize BI tools like Looker, Tableau, and Sigma for data visualization and reporting.
Maintain and optimize ETL pipelines to streamline data flow and analysis.
Required Qualifications:
5 years of experience in data science, analytics engineering, or data engineering.
Strong expertise in SQL and Python for data analysis and modeling.
Understanding of data modeling principles (Kimball, Star Schema, etc.).
Experience with cloud-based data platforms and data pipeline management.
Familiarity with feature engineering and supervised learning models.
Strong problem-solving skills and ability to work across technical and non-technical teams.
Preferred Qualifications:
Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
Experience in startup environments and fast-paced data-driven businesses.
Background in the hospitality or restaurant industry is a plus.
This role offers a dynamic opportunity to shape the data infrastructure and drive innovation for a growing business. If you're passionate about leveraging data to enhance decision-making, this could be the perfect opportunity for you!
Location: Austin TX
Experience: 5 years
Job Type: Permanent
Ideal Candidate Should Have:
Expertise in SQL, Python, and data modeling for analytics and decision-making.
Experience working with modern data warehouses (Snowflake, BigQuery, Redshift).
Strong analytical skills and ability to interpret complex datasets.
Familiarity with BI tools such as Looker, Tableau, or Sigma.
Background in ETL processes, data governance, and cloud-based analytics.
Ability to collaborate cross-functionally with marketing, product, and strategy teams.
Passion for data-driven insights and problem-solving.
Job Description:
Thinking Minds Inc.'s client is looking for a Lead Data Scientist to design, build, and optimize data models and infrastructure to drive analytics and business decision-making. This role requires strong technical expertise in SQL, Python, ETL processes, and data modeling, as well as experience working with modern data warehouses and BI tools.
Key Responsibilities:
Develop data models and infrastructure to support analytics-driven decision-making.
Collaborate with marketing, product, and strategy teams to translate business needs into actionable insights.
Perform data profiling, cleansing, and analysis to uncover trends and support forecasting.
Identify reporting gaps and enhance existing data documentation.
Implement data governance best practices to ensure data integrity and accessibility.
Work with cloud-based data warehouses such as Snowflake, BigQuery, and Redshift.
Utilize BI tools like Looker, Tableau, and Sigma for data visualization and reporting.
Maintain and optimize ETL pipelines to streamline data flow and analysis.
Required Qualifications:
5 years of experience in data science, analytics engineering, or data engineering.
Strong expertise in SQL and Python for data analysis and modeling.
Understanding of data modeling principles (Kimball, Star Schema, etc.).
Experience with cloud-based data platforms and data pipeline management.
Familiarity with feature engineering and supervised learning models.
Strong problem-solving skills and ability to work across technical and non-technical teams.
Preferred Qualifications:
Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
Experience in startup environments and fast-paced data-driven businesses.
Background in the hospitality or restaurant industry is a plus.
This role offers a dynamic opportunity to shape the data infrastructure and drive innovation for a growing business. If you're passionate about leveraging data to enhance decision-making, this could be the perfect opportunity for you!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
