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Internship Data Science Analytics Jobs in Tennessee

Bachelor's degree in Business Analytics, Data Science, Operations Research, Mathematics, Statistics, or related field (or equivalent certification). * 3+ years of hands-on experience in data science ...

Bachelor's degree in Business Analytics, Data Science, Operations Research, Mathematics, Statistics, or related field (or equivalent certification). * 3+ years of hands-on experience in data science ...

Data Scientist, Marketing

Memphis, TN · On-site

$103K - $134K/yr

Proficiency in at least one programming language commonly used in data science (e.g., Python, R). * Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy in Python ...

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Clinical Science, Cognition and Cognitive Neurosciences, and Neuroscience. Key Functions and ... Conducts advanced computational analyses of human behavioral and neuroscience datasets to support ...

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Internship Data Science Analytics information

What is the difference between Internship Data Science Analytics vs Data Analyst Intern?

AspectInternship Data Science AnalyticsData Analyst Intern
Required CredentialsBasic knowledge of statistics, programming (Python/R), and data toolsSimilar skills, often with coursework in statistics or data analysis
Work EnvironmentHands-on projects, collaborative teams, tech-focused companiesData collection, cleaning, visualization tasks in various industries
Employer & Industry UsageTech firms, finance, healthcare, consultingRetail, marketing, finance, tech

Internship Data Science Analytics and Data Analyst Intern roles share similar skills and work environments, focusing on data handling and analysis. The main difference lies in scope: Data Science Analytics internships often involve more advanced statistical modeling and machine learning, while Data Analyst Intern roles emphasize data visualization and reporting. Both serve as entry points into data careers, with overlapping skills but different focus areas.

What are the most commonly searched types of Data Science Analytics jobs in Tennessee? The most popular types of Data Science Analytics jobs in Tennessee are:
What cities in Tennessee are hiring for Internship Data Science Analytics jobs? Cities in Tennessee with the most Internship Data Science Analytics job openings:
Sr. Manager, Data Scientist, Marketing Analytics

Sr. Manager, Data Scientist, Marketing Analytics

Rentokil

Memphis, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Rentokil rating

7.0

Company rating: 7.0 out of 10

Based on 118 frontline employees who took The Breakroom Quiz

14th of 33 rated pest control companies


Job description

Benefits Start Day 1 for Full-Time Colleagues - No Waiting Period!

For more information about our benefits, see below!

We are proud to be a member of the Rentokil family of companies, the global leader in Pest Control and other services across more than 90 countries. We pride ourselves on being a trusted partner to many of the world's leading brands and serve consumer and business customers across multiple industries. We are extremely proud of our legacy of excellence and constantly work to fulfill our mission to "protect people, enhance lives, and preserve the planet."

Overview

We are seeking an experienced and highly motivated Sr. Manager, Data Scientist to lead a team of talented data scientists focused on advancing our marketing analytics capabilities. This role will be instrumental in translating complex marketing challenges into data-driven solutions, driving insights that optimize campaign performance, enhance customer understanding, and maximize ROI. The ideal candidate will possess a strong blend of technical expertise in data science, proven leadership abilities, and a deep understanding of marketing strategies and analytics.

Duties & Responsibilities

  • Team Leadership & Management

    • Lead, mentor, and develop a team of 2-3 data scientists, fostering a collaborative and high-performing environment.

    • Set clear goals, provide regular feedback, and conduct performance reviews for team members.

    • Support the professional growth of team members through training, conferences, and challenging assignments.

    • Collaborate with cross-functional teams to identify opportunities for leveraging data science to create business value.

    • Manage competing priorities across multiple projects while ensuring adherence to timelines, budgets, and quality standards.

    • Oversee the end-to-end lifecycle of data science projects, from ideation and prototyping to production and monitoring.

    • Conduct rigorous reviews of statistical and optimization models to ensure they meet business needs, technical standards, and ethical guidelines.

    • Executive Presence including excellent communication and presentation skills, written and verbal and ability to communicate at all levels within large organizations.

  • Technical Execution & Innovation

    • Apply a strong understanding of statistical modeling, machine learning algorithms, and experimental design.

    • Oversee the end-to-end data science lifecycle, including data collection, cleaning, feature engineering, model development, validation, deployment, and monitoring.

    • Ensure the integrity and accuracy of data used for analysis and modeling.

    • Contribute to the development of scalable data pipelines and analytical infrastructure in collaboration with data engineering teams.

    • Hands-on experience deploying models from development through production in a modern data science stack

    • Champion the use of cutting-edge data science techniques to solve challenging marketing problems.

  • Strategic Marketing Analytics & Insights

    • Partner closely with marketing leadership and stakeholders to understand business objectives and identify opportunities for data science to drive impact.

    • Define and execute the roadmap for marketing analytics initiatives, aligning with overall business strategy.

    • Lead the design, development, and implementation of advanced analytical models (e.g., attribution modeling, customer lifetime value (CLTV),, segmentation, propensity modeling, personalization algorithms, media mix modeling (MMM)).

    • Develop and implement A/B and multivariate testing frameworks and methodologies to measure the impact of marketing initiatives.

    • Stay abreast of industry trends and emerging technologies in data science and marketing analytics.

  • Cross-Functional Collaboration & Communication

    • Collaborate effectively with cross-functional teams including Marketing, Product, Sales, IT, and Data Engineering.

    • Translate complex analytical findings into clear, actionable insights and recommendations for marketing teams and senior leadership.

    • Act as a subject matter expert in data science and marketing analytics within the organization.

Education

  • Master's or PhD in Data Science, Operations Research, Applied Mathematics, Computer Science, or a related field.

Experience

  • 10+ years of progressive experience in data science, with at least 2-3 years in a leadership or management role, leading a team of data scientists.

  • Extensive experience with ML predictive analytics, optimization algorithms, and large-scale data processing frameworks.

  • Significant experience working in cross-functional teams and influencing stakeholders at all levels of the organization.

  • Demonstrable experience with many of the following: Demand Forecasting, Segmentation, Testing, Predictive Customer Response, Price Optimization, Marketing Mix Modeling, Customer Journey Analytics, Next Best Product/Offer, Customer Elasticity (Market Response Modeling),


Skills & Competencies

  • Expert proficiency in Python (NumPy, pandas, scikit-learn, TensorFlow/PyTorch) and/or R.

  • Strong SQL skills for data extraction and manipulation.

  • Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).

  • Solid understanding of statistical inference, experimental design, and causal analysis.

  • Proven ability to build, deploy, and monitor machine learning models in production environments.

  • Excellent communication, presentation, and interpersonal skills, with the ability to influence stakeholders at all levels.

  • Strong problem-solving abilities and a strategic mindset.

No sponsorship or OPT available

Base Pay Range $135,700 - $176,400 / year

While starting pay falls within the given range, it can vary based on factors like geographic location, skills, education, and experience. Total earnings may also be affected by overtime, incentives, commissions, performance, and route assignment (where applicable).

#LI-Remote

Why Choose Us?
A career with the Rentokil family of companies can be a professional trajectory filled with opportunity. We pride ourselves on being a world-class team that rewards high performance, and we love to promote from within. We offer competitive pay and many of our roles offer performance incentives.
Below you'll find information about some of what we have to offer. All Full-Time Colleagues qualify for the following and Part-Time Colleagues qualify for most benefits after they meet certain criteria.
Click here to read more about our Total Rewards Program which includes:
Professional and Personal Growth

  • Multiple avenues to grow your career

  • Training and development programs available

  • Tuition Reimbursement benefits (for FT Colleagues)


Health and Wellness

  • Full-time colleagues are eligible to begin enrollment immediately upon hire with benefits starting on day 1

  • Health benefits including Medical, Dental, Vision, Disability, and Life Insurance plus much more


Savings and Retirement

  • 401(k) retirement plan with company-matching contributions

Work-Life Balance

  • Vacation days & sick days

  • Company-paid holidays & floating holidays

  • A company mindset that prioritizes health, safety, and flexibility


We are looking for individuals who want to make a difference where our customers live and work. Is that you?

This company is a Drug Free workplace.

Rentokil is committed to complying with all Federal, State, and local laws related to the employment of qualified individuals with disabilities.

California residents click here to review your privacy rights.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

By applying to this job, you agree to receive initial texts from systems used on behalf of Rentokil North America, Inc., possibly including Workday, Loop, and HireVue. These systems utilize text messages to communicate with you throughout the application, interview, and pre-hire processes. You can set your communication preferences or opt out of text messages from each system at any time following the initial message. Message and data rates may apply.


What Rentokil employees say

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About Rentokil

Sourced by ZipRecruiter

Rentokil is the most recognised commercial pest control brand in the world, offering a greater global reach than any other. We provide innovative services and solutions in over 80 countries across 1,800 local branches, employing over 19,000 qualified pest control specialists Our mission is to protect people and enhance lives by providing pest control services that ensure public health and protect the environment through energy efficient and sustainable solutions. We offer a complete range of services for commercial and residential properties, including common pests such as rodents, flies, stored product insects, biting insects and birds to other kinds of wildlife. Driven by customer-centric innovation, our pest control solutions incorporate both preventative and responsive strategies to enhance protection for your business sector through a consistent, continuous pest management programme.

Industry

Environmental quality programs administration

Company size

10,000+ Employees

Headquarters location

Reading, PA, US

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