Data Scientist

EWC Corporate LLC; Plano (TX); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid schedule: in-office Monday-Thu,

Remote Fridays

Professional development stipend

401(k) with matching

Medical, dental, vision

Paid holidays

Generous PTO

Job summary

EWC Corporate LLC in Plano, TX is seeking a Data Scientist to support Finance, Operations, Marketing, and Development with analytics, predictive modeling, and BI reporting. You will translate business questions into data solutions using SQL, Python, and Snowflake to deliver actionable insights.

Ideal candidates have hands-on experience building dashboards with Power BI, Looker, Tableau, and Omni, plus strong communication skills to present findings to technical and non-technical stakeholders.

Qualifications

• Strong hands-on coding in SQL and Python, with experience building datasets and models from raw data.
• Working knowledge of statistical and machine learning methods, incl. regression, classification, clustering, and time series forecasting.
• Experience building and maintaining BI dashboards for multiple audiences using Power BI, Looker, Tableau, or similar tools.
• Ability to translate ambiguous questions from Finance, Ops, Marketing, and Development into an actionable analytical approach.
• Strong data modeling and data warehousing fundamentals with Snowflake, dbt, or similar tools.
• Advanced analytical and problem-solving skills, including moving from exploration to clear recommendations.
• Bachelor’s degree in data science, statistics, computer science, or related field.
• 3+ years of experience in data science, data analytics, or business analytics, including hands-on SQL/Python and applied statistical or ML modeling.
• Experience with cloud data warehouses (Snowflake or similar) and BI tools (Power BI or similar).
• Cross-functional stakeholder support experience is a plus.

Responsibilities

• Write SQL and Python to build, test, and maintain analytical datasets and pipelines in Snowflake
• Develop descriptive analytics including dashboards, KPI frameworks, and ad hoc queries
• Create predictive models for forecasting, segmentation, and other ML use cases
• Perform prescriptive analysis using scenario modeling and recommendations
• Collaborate with stakeholders across Finance, Ops, Marketing, and Development to scope analytical questions
• Design and maintain BI dashboards for self-serve reporting across teams using Power BI and Omni
• Run exploratory data analysis to identify trends, anomalies, and root causes
• Present findings and recommendations clearly to technical and non-technical audiences

Skills

SQL

Python

Statistical methods

Machine learning

Data visualization

Data modeling

Snowflake

dbt

Power BI

Looker

Tableau

Cross-functional collaboration

Cloud data warehouses

Education

Bachelor’s degree in data science, statistics, computer science, or related field

Tools

Snowflake

dbt

Power BI

Looker

Tableau

Omni

Job description

Join EWC Corporate LLC in Plano, TX (hybrid) as a Data Scientist supporting Finance, Operations, Marketing, and Development with analytics, predictive modeling, and BI reporting.

Responsibilities

• Write SQL and Python to build, test, and maintain analytical datasets and pipelines in Snowflake
• Develop descriptive analytics including dashboards, KPI frameworks, and ad hoc queries to explain what happened and why
• Create predictive models for forecasting, segmentation, and other statistical or ML use cases to assess what is likely to happen
• Perform prescriptive analysis using scenario modeling and recommendations to guide what should be done
• Collaborate with stakeholders across Finance, Ops, Marketing, and Development to scope analytical questions and translate business problems into data solutions
• Design and maintain BI dashboards for self-serve reporting across teams using Power BI and Omni
• Run exploratory data analysis to identify trends, anomalies, and root causes in business performance
• Present findings and recommendations clearly to technical and non-technical audiences

Requirements

• Strong hands-on coding ability in SQL and Python, with experience building datasets and models from raw data
• Working knowledge of statistical and machine learning methods, including regression, classification, clustering, and time series forecasting
• Experience building and maintaining BI dashboards for multiple audiences using Power BI, Looker, Tableau, or similar tools
• Ability to translate ambiguous questions from Finance, Ops, Marketing, and Development into an actionable analytical approach
• Strong data modeling and data warehousing fundamentals with Snowflake, dbt, or similar tools
• Advanced analytical and problem-solving skills, including moving from exploration to clear recommendations
• Ability to work independently in a fast-paced environment while managing multiple priorities
• Strong communication skills for explaining technical work to non-technical stakeholders
• Bachelor’s degree in data science, statistics, computer science, or a related quantitative field
• 3+ years of experience in data science, data analytics, or business analytics, including hands-on SQL/Python and applied statistical or ML modeling
• Experience with cloud data warehouses (Snowflake or similar) and BI tools (Power BI or similar)
• Cross-functional stakeholder support experience (finance or operations or marketing analytics) is a plus

Tech Stack

• SQL, Python
• Snowflake, dbt
• Power BI, Omni, Looker, Tableau

Benefits

• Medical, Dental, Vision
• HDHP with HSA
• Employer-paid Life Insurance
• Disability
• Mental Health & EAP benefits
• 401(k) with Safe-Harbor Matching and additional voluntary benefits
• Coverage options: pet, legal, identity theft, accident, hospital, and critical illness
• 17 days of PTO (increases with tenure)
• 11 paid holidays
• Paid parental/adoption/foster leave
• Dedicated Wellness/Mental Health and Volunteer days
• Hybrid schedule: in-office Monday-Thursday and remote Fridays
• Up to $500 annual professional development stipend
• Weekly office breakfast
• Fun Committee, DE&I Council
• Employee discounts
• Time off to vote

Visa sponsorship: This role is not eligible for visa sponsorship.