Sr. Data Scientist

EPITEC; Franklin (TN); Hybrid; USD 120,000 - 130,000; Full time

Job summary

A leading technology recruitment company is seeking a Sr. Data Scientist to join their automotive manufacturing client in Franklin, Tennessee. This full-time, hybrid role entails building dynamic pricing models and analyzing large datasets using advanced analytics. The ideal candidate will have over 6 years of experience in data science with a strong focus on pricing and excellent communication skills. The position requires relocation to Franklin and does not offer visa sponsorship.

Qualifications

• 6+ years of experience in data science with a focus on pricing, forecasting, or revenue optimization.
• Strong understanding of price elasticity, inventory dynamics, and automotive aftersales preferred.
• Excellent communication skills and ability to present insights to non-technical stakeholders.

Responsibilities

• Build and deploy dynamic pricing models to optimize aftersales parts pricing.
• Analyze large datasets using machine learning, predictive analytics, and statistical modeling.
• Collaborate with Sales, Marketing, and IT teams to align pricing strategies with business goals.
• Generate actionable insights through data visualization and reporting.
• Monitor model performance and continuously improve pricing effectiveness.
• Translate complex data into clear recommendations for leadership.

Skills

Data science

Pricing

Forecasting

Revenue optimization

Python

R

SQL

Machine learning

Predictive analytics

Data visualization

Education

Bachelor's in Statistics, Computer Science or related field

Master's preferred

Tools

Hadoop

Spark

Big data tools

Job description

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This range is provided by EPITEC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $130,000.00/yr

Direct message the job poster from EPITEC

Technical Recruiter | Talent Acquisition | Recruiting coordinator | Sourcer

EPITEC is seeking a Sr. Data Scientist to join our Leading Automotive Manufacturing Clients Aftersales Pricing team and drive data-driven decisions that impact parts pricing, marketing investments and customer satisfaction.

This role is ideal for someone who thrives at the intersection of advanced analytics, business strategy, and automotive innovation.

*** Hybrid role - 4 days/ week in office ***

*** Candidate must relocate to Franklin, Tennessee ***

*** Fulltime opportunity with our Leading Automotive Manufacturing Client ***

This position does not offer visa sponsorship. Candidates must be legally authorized to work in the United States without the need for current or future sponsorship.

What You’ll Do

• Build and deploy dynamic pricing models to optimize aftersales parts pricing.
• Analyze large datasets using machine learning, predictive analytics, and statistical modeling.
• Collaborate with Sales, Marketing, and IT teams to align pricing strategies with business goals.
• Generate actionable insights through data visualization and reporting.
• Monitor model performance and continuously improve pricing effectiveness.
• Translate complex data into clear recommendations for leadership.

What We’re Looking For

• Bachelor’s in Statistics, Computer Science, or related field (Master’s preferred).
• 6+ years of experience in data science, with a focus on pricing, forecasting, or revenue optimization.
• Proficiency in Python, R, SQL, and big data tools (e.g., Hadoop, Spark).
• Strong understanding of price elasticity, inventory dynamics, and automotive aftersales (preferred).
• Excellent communication skills and ability to present insights to non-technical stakeholders.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Information Technology
• Industries: Motor Vehicle Manufacturing

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Locations of interest mentioned: La Vergne, TN; Nashville, TN.

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