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Data Optimization Jobs in Tennessee (NOW HIRING)

Summary The Data Scientist will play an important role on the Performance Marketing Analytics team ... Measurement and optimization: Produce response curves, elasticities, and scenario planning for ...

Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient, selecting features, building and optimizing ...

A Data Scientist will bring forth a strong focus on building intelligent agents, automation, and ... optimal actions to management. * Runs analytical experiments in a methodical manner to find ...

New

Databricks Data Engineer

Nashville, TN

$110K - $132K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Senior Data Architect

Nashville, TN · On-site

$65 - $87/hr

Oversee the performance optimization, scalability and reliability of the PM2PA data flows. This may involve tuning Oracle databases or other key data sources, optimizing application performance and ...

Engineer, Data II

Chattanooga, TN

$98K - $117K/yr

The Engineer II contributes to the design and implementation of both relational and NoSQL data repositories, focusing on optimizing data access and ensuring efficient data storage. This role works ...

Data Engineer

Nashville, TN

$110K - $132K/yr

Designing and optimizing complex transformation logic at scale REQUIREMENTS: * DE III: 7+ years of experience in data engineering * DE II: 3-7+ years of experience in data engineering * Advanced to ...

Engineer, Data II

Chattanooga, TN

$98K - $117K/yr

The Engineer II contributes to the design and implementation of both relational and NoSQL data repositories, focusing on optimizing data access and ensuring efficient data storage. This role works ...

Work you'll do The Deloitte Technology (DT) Process Optimization Manager plays a critical role in ... Collect, analyze, interpret and translate complex data into actionable insights for program ...

Data BI Analyst

Nashville, TN · On-site

$46 - $48/hr

Implement refresh strategies, performance tuning, and capacity optimization * Support deployment, versioning, and lifecycle management of BI artifacts across environments * Support data governance ...

Become a part of our caring community The Manager, Data Engineering role is accountable for the ... Cloud cost optimization * Technology lifecycle activities The role requires strong collaboration ...

Become a part of our caring community The Manager, Data Engineering role is accountable for the ... Cloud cost optimization * Technology lifecycle activities The role requires strong collaboration ...

Analyze web and product analytics data to identify user behavior patterns, conversion trends, and opportunities for optimization. * Develop insights, dashboards, and regular reports using platforms ...

Data Engineer

Brentwood, TN · On-site

$108K - $130K/yr

Advanced SQL proficiency with experience in complex query optimization and database design * Python programming skills for data manipulation, automation, and analytics * Power BI expertise including ...

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Data Optimization information

What are some typical challenges faced in a Data Optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a Data Optimization job?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as Excel, SQL, and data visualization tools like Tableau or Power BI. However, developing proficiency in data analysis typically requires ongoing practice, real-world experience, and understanding of statistical concepts, which may extend beyond three months for full competency.

What is a data optimization job?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and decision-making. Professionals in this role often use tools like SQL, Python, or data management software and require strong analytical skills to identify areas for improvement in data systems.

What is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually depending on experience and industry. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and extensive experience.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, they do not fully replace the need for human judgment, domain expertise, and interpretative skills essential to the role of a data analyst.

What are the key skills and qualifications needed to thrive in the Data Optimization position, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are the most commonly searched types of Data Optimization jobs in Tennessee? The most popular types of Data Optimization jobs in Tennessee are:
What cities in Tennessee are hiring for Data Optimization jobs? Cities in Tennessee with the most Data Optimization job openings:
Infographic showing various Data Optimization job openings in Tennessee as of June 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, and 67% Hybrid job distribution.

Data Scientist

First Horizon

Nashville, TN • On-site

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


First Horizon Bank rating

8.3

Company rating: 8.3 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

34th of 141 rated banks


Job description

Location: On site at location listed in job posting.
Summary
The Data Scientist will play an important role on the Performance Marketing Analytics team with impact across the company. This exciting role provides the opportunity to be a critical part of a growing team that is driving our company's capabilities into the future. The ideal candidate will blend strategic thinking, strong organizational skills, excellent data science and data management expertise and the ability to develop trusted relationships with a broad range of stakeholders. An understanding of data governance, data risks, data routines, data systems, technology platforms, and data tools will be important attributes for success.
Duties and Responsibilities
  • Lead end-to-end development of machine learning and advanced analytics solutions that drive client acquisition, retention, and operational efficiency.
  • Partner with cross-functional associate's in Marketing, Digital, Product, Finance, and Data Engineering to translate business goals into measurable data science initiatives.
  • Build data models in a scrappy environment today, while helping evolve practices and platforms toward a more sophisticated enterprise data structure on Databricks.
  • Business problem framing: Work with stakeholders to define hypotheses, success metrics, and testable use cases (e.g., acquisition propensities, churn/retention, cross-sell, marketing effectiveness).
  • Data discovery and wrangling: Source, clean, and integrate messy, siloed datasets; design robust data pipelines and reproducible feature sets.
  • Modeling and experimentation:
    • Client outcomes: Survival analysis for churn/retention and tenure; logistic regression and tree-based models for acquisition/propensity; CLV modeling.
    • Marketing effectiveness: Build/refresh Marketing Mix Models (MMM) for incrementality, channel contribution, and optimization.
    • Productionalize: Package models with MLflow, implement monitoring/alerting, and manage lifecycle updates.
  • Measurement and optimization: Produce response curves, elasticities, and scenario planning for budget allocation; quantify short- vs long-term effects where feasible.
  • Communication: Convert complex analyses into clear narratives, visuals, and recommendations for executive and non-technical audiences; document methods and assumptions.
  • Mentorship and standards: Coach junior data scientists/analysts through code reviews, pair programming, and project scoping; contribute to best practices, templates, and reusable components.
  • Governance and risk: Adhere to model governance, validation, fairness, and monitoring standards suitable for a regulated environment; ensure privacy/security controls in data use.

Job Requirements:
  • 7+ years of hands-on data science experience (or equivalent) delivering productionized models and measurable business impact.
  • Strong Python skills (pandas, numpy, scikit-learn); experience with survival analysis (lifelines, scikit-survival), logistic regression, and tree-based/gradient boosting methods.
  • Demonstrated MMM experience (e.g., adstock/carryover, saturation, lag modeling; frameworks such as Robyn or LightweightMMM) and translating results into budget recommendations and positive business change.
  • Experience working with multi-touch attribution models within customer journeys where brand (e.g. awareness, consideration/intent), campaign effectiveness (e.g., lead generation, conversions, etc.) and total investment considerations are leveraged to measure return on marketing investment (ROMI).
  • CLV modeling expertise (e.g., Pareto/NBD, BG/NBD, Gamma-Gamma, contractual/subscription CLV) and linking CLV to acquisition/retention strategies.
  • Proven ability to work in scrappy data environments: stitching disparate sources, resolving data quality issues, and iterating quickly with imperfect inputs.
  • Databricks and big data: Proficiency with SQL, PySpark, MLflow, and Databricks Jobs/Workflows; experience building feature pipelines and monitoring in the platform.
  • Experimentation: Designing and analyzing A/B and incrementality tests; understanding of causal inference concepts.
  • Version control and workflow: CI/CD familiarity; reproducible research practices and structured documentation.
  • Communication and influence: Track record of driving decisions with clear storytelling and stakeholder alignment.
  • Mentoring experience: Guiding junior associates, establishing coding standards, and elevating team practices.
  • Experience with cloud data ecosystems (Azure/AWS) and orchestration tools (Airflow, dbt).
  • Experience with visualization tools (e.g., Plotly, Matplotlib/Seaborn, Power BI/Tableau).

Preferred experience
  • Financial services or marketing analytics domain exposure; understanding of client lifecycle in banking or adjacent industries.

About UsFirst Horizon Corporation is a leading regional financial services company, dedicated to helping our clients, communities and associates unlock their full potential with capital and counsel. Headquartered in Memphis, TN, the banking subsidiary First Horizon Bank operates in 12 states across the southern U.S. The Company and its subsidiaries offer commercial, private banking, consumer, small business, wealth and trust management, retail brokerage, capital markets, fixed income, and mortgage banking services. First Horizon has been recognized as one of the nation's best employers by Fortune and Forbes magazines and a Top 10 Most Reputable U.S. Bank. More information is available at www.FirstHorizon.com.
Benefit Highlights
• Medical with wellness incentives, dental, and vision
• HSA with company match
• Maternity and parental leave
• Tuition reimbursement
• Mentor program
• 401(k) with 6% match
• More -- FirstHorizon.com/First-Horizon-National-Corporation/Careers/Our-Benefits
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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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