Marketing Data Scientist - Remote

Harbor Freight Tools; United States; Remote; USD 126,700 - 190,100; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Short-term and long-term disability

401(k) plan

Paid time off

Job summary

A leading retail firm is looking for a skilled Data Scientist to join their Marketing Analytics team. This role involves developing marketing models, analyzing customer data to optimize marketing strategies, and applying AI techniques. Candidates should have a Bachelor's degree and 4-6 years of experience in marketing analytics. The position offers a competitive salary range of $126,700 to $190,100 and various benefits, including a 401(k) plan and paid time off.

Qualifications

• 4-6 years industry experience developing marketing or related machine learning models.
• 4-6 years experience in marketing analytics or another related analytics role.

Responsibilities

• Develop, validate, and maintain core Marketing models.
• Apply advanced analytics and machine learning techniques for business problems.
• Support design and analysis of marketing campaign tests.
• Perform data exploration on customer behaviors.
• Collaborate with Data Engineering and IT teams.
• Translate analytical findings into narratives for stakeholders.

Skills

Machine learning techniques

Causal inference methods

Data analysis

SQL

Python

R

Communication skills

Education

Bachelor’s degree in a technical or quantitative field

Job description

We are looking for a highly skilled and motivated Data Scientist to join our Marketing Analytics team. This role is crucial in leveraging our vast customer, sales, and campaign data to generate actionable insights that optimize marketing spend, personalize customer experiences, and drive profitability. The ideal candidate will have a good understanding of data science and AI techniques applicable in a marketing environment. The ideal candidate will also be able to understand and communicate how the work they do fits into the business context and business goals.

Duties and Responsibilities

• Develop, validate, and maintain a core set of Marketing models, including customer lifetime value, churn prediction and retention modeling, next best offer recommendations, and customer segmentation.
• Apply advanced analytics, causal inference, experimentation, machine learning and AI techniques for given business problems related to customer behavior and marketing personalization.
• Support the design, analysis, and interpretation of marketing campaign tests, including A/B tests, controlled experiments, and geo-tests.
• Proactively perform data exploration on customer behaviors to discover future opportunities.
• Collaborate with Data Engineering and IT teams to ensure data quality, accessibility, and the implementation of models into production environments.
• Cultivate strong partnerships with cross-functional stakeholders from marketing, merchandising, and IT.
• Translate complex analytical findings into clear, concise, and compelling narratives for non-technical stakeholders, including marketing leaders and executive teams.

Scope

• Staff supervision and development: No
• Decision making:
• Travel: Up to 5%
• Flex Designation: Anywhere in the United States

Requirements

Education and Experience

• Bachelor’s degree, preferably in a technical or quantitative field.
• 4-6 years industry experience developing marketing or related machine learning models.
• 4-6 years experience in marketing analytics or another related analytics role.

Skills

• Experience with a wide variety of machine learning techniques (e.g., regression, classification, clustering, deep learning).
• Familiarity with causal inference methods, time series analysis, and forecasting techniques.
• Ability to assess model robustness by selecting, interpreting, and comparing appropriate performance metrics (e.g., accuracy, precision, recall, F1, AUC).
• Strong foundational knowledge of core marketing concepts (e.g., CPA, ROAS, LTV, attribution, segmentation).
• Demonstrated ability to apply data science to solve real-world marketing or business challenges.
• Strong technical skills including SQL and either Python or R.
• Familiarity with common AI tools and frameworks such as HuggingFace, transformers, pytorch, RAG, etc.
• Ability to communicate clearly with both technical and non-technical audiences.

The anticipated salary range for this position is $126,700 – $190,100 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company’s 401(k) plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.