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Relocation Package Data Science Jobs in Trenton, TN

ERMCO

Process Engineer

Dyersburg, TN · On-site

... science. This position applies Theory of Constraints (TOC) , Factory Physics , and structured ... Relocation assistance is available. * Identify manufacturing system constraints and bottlenecks ...

CKS Packaging

Quality Supervisor

Brownsville, TN · On-site

Ensure consistent/reliable sampling, data integrity and SOP compliance * Training and education for ... Computer/software literate - MS Office Suite, statistics package * Excellent written and verbal ...

CKS Packaging

Quality Supervisor

Brownsville, TN · On-site

Ensure consistent/reliable sampling, data integrity and SOP compliance * Training and education for ... Computer/software literate - MS Office Suite, statistics package * Excellent written and verbal ...

Reli Group Inc

Power BI Intern

Jackson, TN · On-site

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... package for employees. RELI Group provides a variety of additional benefits to its employees. For ...

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All JobsRelocation Package Data Science JobsRelocation Package Data Science Jobs in Trenton, TN

Relocation Package Data Science information

See Trenton, TN salary details

$30.4K

$99.6K

$159.4K

How much do relocation package data science jobs pay per year?

As of Aug 25, 2026, the average yearly pay for relocation package data science in Trenton, TN is $99,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $110,300.00 per year, depending on experience, location, and employer.

What is a relocation package for data science jobs?

A relocation package for data science jobs is a set of benefits provided by employers to help new hires move to a new location for work. These packages typically cover expenses such as moving costs, temporary housing, travel expenses, and sometimes assistance with finding permanent housing. The goal is to reduce the financial and logistical burden of relocating so that data scientists can start their new roles smoothly. The specifics of a relocation package can vary widely between companies, locations, and job levels.

How does a typical relocation package support data science professionals moving to a new city or country for a role?

A typical relocation package for data science professionals often includes assistance with moving expenses, temporary housing, and support with visa or work permit processes. You may also receive help with finding permanent accommodation and settling-in services, such as local orientation or language courses. These benefits are designed to ease the transition so you can focus on your new role, collaborate effectively with your team, and integrate quickly into the organization. Relocation packages vary by company, so it's a good idea to clarify the details during the hiring process.

What are the key skills and qualifications needed to thrive as a data scientist, especially when utilizing relocation packages, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, programming (typically Python or R), and a relevant degree such as in computer science or mathematics. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud platforms and big data systems are commonly required, while certifications like AWS Certified Data Analytics or Google Data Engineer can be advantageous. Excellent problem-solving, communication, and adaptability skills help you collaborate across diverse teams and adjust to new environments, especially during relocation. These skills ensure you can extract actionable insights from complex data, integrate smoothly into new workplaces, and drive impactful business decisions.

What is the difference between Relocation Package Data Science vs Data Analyst?

AspectRelocation Package Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, consulting firms, or finance sectors with complex data projectsBusiness, marketing, or finance departments analyzing data for insights
Employer & Industry UsageCommon in industries offering relocation packages for specialized rolesWidely used across industries for routine data analysis tasks

Relocation Package Data Science roles typically require advanced degrees and focus on developing predictive models and algorithms, often in tech or finance sectors. Data Analysts usually have similar educational backgrounds but focus on interpreting data and generating reports. Both roles may involve relocation, but Data Science positions tend to be more specialized and technical.

Relocation Package Data Science jobs near you
Infographic showing various Relocation Package Data Science job openings in Trenton, TN as of June 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $99,573 per year, or $47.9 per hour.

Data Scientist - QuantumBlack, AI by McKinsey

McKinsey & Company

Milan, TN • On-site

Full-time

Re-posted 26 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

21st of 72 rated business consultants

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will work in multi-disciplinary teams to harness the power of data and deliver real-world impact for organizations globally. Your work will directly influence the recommendations our clients need to drive meaningful change and enhance their performance.
You will tackle complex and diverse data challenges, working with some of the world's largest organizations. You will develop high-quality data science solutions and products, focusing on advanced modeling and analytics.
While collaborating with client teams and internal experts, you will present findings, provide actionable recommendations, and consult with stakeholders to ensure the successful implementation of data-driven strategies.
You will gain exposure to a variety of industries and sectors, building large-scale data and analytics solutions to address complex business problems. Along the way, you will learn and apply best practices in data science, including responsible AI usage, secure and sustainable development, and scalable solutions.
Working in a collaborative and multicultural environment, you will partner with data scientists, ML engineers, project managers, and business experts to deliver impactful solutions. You will also stay up to date with the latest advancements in data science tools and technologies, while participating in world-class learning programs to continuously enhance your skills.
You will solve real-world problems by analyzing and modeling complex datasets, transforming raw data into actionable insights. By developing and delivering data science solutions, you will ensure they are scalable, secure, and aligned with industry best practices. Collaborating closely with client teams and internal experts, you will design and implement data-driven strategies that address critical business challenges. Your ability to present findings and actionable recommendations to stakeholders will ensure clarity, impact, and alignment with their goals.
Staying informed about the latest trends in data science, you will contribute to the development of proprietary tools and methodologies, driving innovation and excellence. Working across various industries, you will gain valuable insights into diverse business challenges and uncover new applications for data science, broadening your expertise and delivering meaningful results.
We use a diverse range of tools and technologies, selecting the best fit for each task while considering client preferences. Commonly used tools include:
  • Programming and Machine Learning: Python (primary), SQL, R, TensorFlow, PyTorch and Spark
  • Data Engineering and Deployment: Docker, Kubernetes
  • Cloud Platforms: AWS, GCP, Azure
  • Proprietary Tools: Kedro, CausalNex, MLRun

YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Bachelor's, Master's, or PhD in computer science, machine learning, applied statistics, mathematics, engineering, or a related field
  • Up to 2 years of experience in programming or data science
  • Statistical Knowledge: Strong foundation in statistics and data analysis is required. Familiarity with GenAI core concepts is a nice-to-have (e.g., LLMs, RAG architecture, embeddings, and prompt engineering techniques)
  • Proficiency in Python is a must. Experience with R, SQL, or Spark is highly valued. Familiarity with other tools such as, TensorFlow, PyTorch, or Hadoop is a plus. Familiarity with LLM tech-stack (e.g., Langchain, llamaindex) is also a plus
  • Proven ability to work effectively in team environments and with stakeholders at all levels
  • Familiarity with AWS, GCP, or Azure is a nice-to-have
  • Strong verbal and written communication skills in Italian. Fluent level language skills in English are required; knowledge of additional languages (e.g., Portuguese, German, French, Spanish) are a plus

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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About McKinsey

Sourced by ZipRecruiter

In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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