Data Scientist, Marketing

Georgia - virtual, United States

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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."

This role will be responsible to apply their analytical and technical skills to solve real-world business problems. The Data Scientist will work closely with stakeholders to collect, clean, analyze, and interpret data, and contribute to the development and deployment of ML models and data-driven solutions. This role requires a strong foundation in statistical analysis, machine learning concepts, and programming, along with a passion for learning and exploring data. 

Duties & Responsibilities

  • Assist in the collection, cleaning, and preprocessing of large and complex datasets from various sources.

  • Conduct exploratory data analysis (EDA) to identify patterns, trends, and insights in the data.

  • Apply statistical techniques and machine learning algorithms to build predictive models, perform classification, clustering, and other data analysis tasks.

  • Development and validation of machine learning models (Supervised and Unsupervised), and other categories such as Ensemble Methods, and Time-series models.

  • Collaborate with other data scientists and other team members to define project requirements and objectives.

  • Communicate findings and insights effectively through visualizations, reports, and presentations.

  • Stay up-to-date with the latest advancements in data science, machine learning, and related technologies.  

  • Document code, methodologies, and results clearly and concisely.

  • Participate in the deployment and monitoring of data science models and solutions.

  • Contribute to the development of data-driven products and features.

  • Assist in the evaluation of new data sources and technologies.

  • Independently plan and execute work across multiple projects, stakeholders, and functional areas

Candidate Requirements

Education

  • Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related discipline.

Experience

  • 3+ years of relevant experience in data analysis, statistical modeling, or machine learning.

  • Strong understanding of statistical concepts, probability theory, and experimental design.

  • Familiarity with machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction).

  • 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; dplyr, tidyr in R).

  • Familiarity with data visualization libraries (e.g., Matplotlib, Seaborn, Plotly in Python; ggplot2 in R).

  • Basic understanding of database concepts and SQL.

  • Strong analytical and problem-solving skills with the ability to work with imperfect data.

  • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.  

  • Ability to work independently and collaboratively within a team environment.  

  • A strong desire to learn and grow in the field of data science.

  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP). (preferred) 

  • Familiarity with big data technologies (e.g., Spark, Hadoop). (preferred) 

  • Experience with version control systems (e.g., Git). (preferred) 

  • Knowledge of specific industry domains relevant to the company. (preferred) 

  • Experience with deploying machine learning models into production. (preferred) 

Physical Demands and Working Conditions

The physical demands are representative of those that must be met by an employee to perform the essential function to this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Incumbent must be prepared to:

  • Move up to 10 pounds occasionally, by lifting, carrying, pushing, pulling, or otherwise repositioning objects.   

  • Sitting for long periods of time while using office equipment such as computers, phones and etc.

  • Performing repetitive motions involving the wrists, hands, and fingers, such as typing, picking, and pinching, within your regular work environment.

  • Express or exchange ideas with others through the use of spoken word, quickly, accurately, and at an easily audible volume, and receive detailed information through oral communication at usual speaking levels without correction, and/or make fine discriminations in the nature of sounds in the environment.

Incumbent is required to have:  

  • Near-range visual acuity for detailed tasks and ability to perform activities with precision such as analyzing data, viewing computer screens or reading extensively.

Incumbent will be subject to:

  • Inside working conditions: The change of building environment such as with or without air conditioning and heating.

Annual Earning Potential: $102,000 - $132,600 / 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).

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

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

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


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.

Know Your Rights - Workplace Discrimination is Illegal

Pay Transparency - Nondiscrimination Provision

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.

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Category: Data Science Jobs

Tags: AWS Azure Big Data Classification Clustering Computer Science Data analysis Data visualization Economics EDA Engineering GCP ggplot2 Git Hadoop Machine Learning Mathematics Matplotlib ML models NumPy Pandas Plotly Privacy Probability theory Python R SciPy Seaborn Spark SQL Statistical modeling Statistics

Perks/benefits: Career development Competitive pay Health care Insurance Startup environment Team events Transparency Wellness

Regions: Remote/Anywhere North America
Country: United States

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