Junior Data Scientist

Talanto; Northern (KY); Hybrid; USD 88,000 - 100,000; Full time

Benefits offered by this job

Unlimited PTO

Extended Holiday break (Winter)

Work from anywhere options*

100% paid parental leave

401(k) matching

Sponsored life insurance

Short Term Disability insurance and追加

Job summary

Talanto in the United States is hiring a Junior Data Scientist who loves solving problems with data and has strong math, logic, and communication skills. You’ll support data processing, model updates, and analytics reporting while learning advanced techniques that will grow your impact over time.

You’ll collaborate with teams across Engineering, Reporting, Product, Paid Media, and Data Science, working with exciting clients in e-commerce, retail, and entertainment.

Qualifications

• Intermediate programming in R or Python for data cleaning, data modeling, pipeline development, API calls, and related tasks.
• Experience with statistical modeling, machine learning techniques, and LLMs.
• Intermediate SQL skills, including window functions, stored procedures, views, triggers, unions, CTEs, subqueries, and debugging.
• Advanced proficiency in Excel and/or Google Sheets.
• Experience with at least one BI platform (Looker, Tableau, Power BI, etc.) with the ability to learn others; Looker preferred.
• Experience or familiarity with version control tools such as Git or Bitbucket.
• Strong organizational skills with the ability to balance competing client requests and work with complex datasets while maintaining accuracy and meeting deadlines.
• Intermediate to advanced competency in statistics, probability, and linear algebra.
• Strong communication skills, including experience creating and delivering presentations and executive summaries.
• Demonstrated critical thinking skills—the ability to analyze numbers, trends, and data to form meaningful insights.
• Interest or passion for marketing analytics and/or a personal project portfolio.
• Associate’s degree, bootcamp certification, or practical work experience in a quantitative field (Statistics, Mathematics, Computer Science, Information Technology, Economics, Engineering, etc.)

Responsibilities

• Learning to transform, improve, and integrate data according to business requirements.
• Planning and scoping end-to-end data analysis projects by identifying the business problem and selecting appropriate investigative tests and solutions.
• Using SQL and BigQuery to combine and prepare datasets from multiple sources.
• Delivering data in a clear, useful, and visually appealing way to both technical and non-technical audiences.
• Maintaining existing media-mix models through directed retrains and reporting on performance changes.
• Organizing and collecting results from media-mix models, incrementality tests, clean rooms, and related analyses to support the company’s culture of learning.
• Conducting guided marketing analyses to support client and internal needs.
• Supporting presentations through data pulls, ad-hoc analyses, and slide creation.
• Learning to automate data gathering, blending, and transformation processes.
• Collaborating across Engineering, Reporting, Product, Paid Media, and Data Science teams to understand and support client needs.

Skills

Python

R

SQL

Statistics

Communication skills

Problem solving

Education

Associate’s degree or bootcamp certification

Bachelor’s degree or higher (Nice to Have)

Tools

Looker

Tableau

Power BI

Git

Bitbucket

Job description

Data Science 7,333 – 8,333 $

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The Role

•••••••• is hiring a Junior Data Scientist who loves solving problems with data and has strong math, logic, and communication skills. In this role, you’ll support data processing, model updates, and analytics reporting while learning advanced techniques that will grow your impact over time. You’ll collaborate with teams across Engineering, Reporting, Product, Paid Media, and Data Science, working with exciting clients in e-commerce, retail, and entertainment. If you’re detail-oriented, eager to learn, and ready to turn data into meaningful insights, we want to hear from you!

At •••••••• , we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing.

We offer:

• Unlimited PTO
• Extended Holiday break (Winter)
• Work from anywhere options*
• 100% paid parental leave
• 401(k) matching
• Sponsored life insurance
• Short Term Disability insurance and additional voluntary insurance
• Annual Class Pass Credits and more!

The anticipated annual salary for this role will range from $88,000 - $100,000, based on a variety of factors unique to each candidate, including skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and the respective state’s salary threshold for exempt employees. At •••••••• , pay ranges are subject to change and are based on specific market medians for similar jobs according to third-party salary benchmark surveys. Individual pay within that range can vary due to skills, experience, and available budget. The total compensation package for this role will include benefits (listed above).

*This position may be performed remotely in most states within the US, with some exclusions

**While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!

***This position is not eligible for immigration sponsorship

You Will Be

• Learning to transform, improve, and integrate data according to business requirements
• Planning and scoping end-to-end data analysis projects by identifying the business problem and selecting appropriate investigative tests and solutions
• Using SQL and BigQuery to combine and prepare datasets from multiple sources
• Delivering data in a clear, useful, and visually appealing way to both technical and non-technical audiences
• Maintaining existing media-mix models through directed retrains and reporting on performance changes
• Organizing and collecting results from media-mix models, incrementality tests, clean rooms, and related analyses to support •••••••• ’s culture of learning
• Conducting guided marketing analyses to support client and internal needs
• Supporting presentations through data pulls, ad-hoc analyses, and slide creation
• Learning to automate data gathering, blending, and transformation processes
• Collaborating across Engineering, Reporting, Product, Paid Media, and Data Science teams to understand and support client needs

You Must Have

• Intermediate programming skills in R or Python for data cleaning, data modeling, pipeline development, API calls, and related tasks
• Experience with statistical modeling, machine learning techniques, and LLMs
• Intermediate SQL skills, including window functions, stored procedures, views, triggers, unions, CTEs, subqueries, and debugging
• Advanced proficiency in Excel and/or Google Sheets
• Experience with at least one BI platform (Looker, Tableau, Power BI, etc.) with the ability to learn others; Looker preferred
• Experience or familiarity with version control tools such as Git or Bitbucket
• Strong organizational skills with the ability to balance competing client requests and work with complex datasets while maintaining accuracy and meeting deadlines
• Intermediate to advanced competency in statistics, probability, and linear algebra
• Strong communication skills, including experience creating and delivering presentations and executive summaries
• Demonstrated critical thinking skills—the ability to analyze numbers, trends, and data to form meaningful insights
• Interest or passion for marketing analytics and/or a personal project portfolio
• Associate’s degree, bootcamp certification, or practical work experience in a quantitative field (Statistics, Mathematics, Computer Science, Information Technology, Economics, Engineering, etc.)

Nice To Have

• Bachelor’s degree or higher in a quantitative field
• Exposure to marketing analyses such as media-mix models (MMM), incrementality testing, CAC, and lead scoring
• Experience with analytics software, such as Google Analytics and Adobe Analytics
• Familiarity with clean room environments (FBAA, AMC, Google ADH)
• Experience with cloud computing (AWS, GCP, Azure, etc.)

•••••••• is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.

Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on •••••••• .

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.

In line with the market for similar positions

Based on 40 similar vacancies

7833$ /month

7833$ /month Your offer

5200 $ 25%

8041 $ median

11254 $ 75%

The range shows the lower and upper market bands: 25% of vacancies pay below the first value, the median is the typical salary, and 75% marks the upper band.