Data Scientist – Marketing
Job Title: Data Scientist – Marketing
Location: On-Site
Company: Best Buy
Industry: Marketing, Data Science, Analytics
About the Role:
Are you passionate about turning data into actionable marketing strategies? As a Data Scientist - Marketing at [Company Name], you will leverage your data expertise to optimize marketing efforts, uncover customer insights, and shape data-driven campaigns that make an impact. You will work closely with the marketing, product, and analytics teams to design and implement models that drive business growth through smarter, data-backed decisions.
If you’re excited by the opportunity to merge marketing knowledge with cutting-edge data science techniques, and you thrive on solving real-world marketing challenges, this is the perfect role for you!
What You’ll Do:
- Optimize Marketing Campaigns: Use machine learning and statistical models to assess the effectiveness of marketing campaigns, identifying trends and opportunities for improvement.
- Analyze Customer Behavior: Dive into customer data to uncover valuable insights, identify patterns, and segment audiences based on purchasing behavior, interests, and engagement levels.
- Build Predictive Models: Develop and implement predictive models that forecast customer behavior, lifetime value, and conversion rates to inform targeted marketing strategies.
- A/B Testing and Experimentation: Lead and execute A/B testing and multivariate experiments, providing data-driven recommendations for creative optimization and campaign strategies.
- Collaborate Across Teams: Work closely with marketing, product, and analytics teams to provide actionable insights that influence product launches, customer outreach, and digital strategies.
- Data-Driven Reporting: Build and maintain dashboards and reports to measure the success of marketing initiatives, delivering insights and recommendations to senior leadership.
- Stay Ahead of the Curve: Keep up with the latest trends in marketing analytics, machine learning, and AI to continually evolve and refine marketing strategies.
What We’re Looking For:
- 3+ years of experience in data science or marketing analytics, with a strong focus on marketing data, customer analytics, and predictive modeling.
- Proficiency in data science programming languages such as Python, R, or SQL, with experience in data manipulation tools (e.g., Pandas, NumPy, Spark).
- Hands-on experience with machine learning algorithms, including classification, clustering, regression, and recommender systems, applied to marketing datasets.
- Familiarity with marketing analytics tools (e.g., Google Analytics, Adobe Analytics, Marketo, HubSpot), and ability to integrate them with data science models.
- Strong statistical analysis skills and experience working with large, complex datasets to derive actionable insights.
- A keen understanding of digital marketing strategies, such as SEO, SEM, email marketing, and social media, and how data can enhance these efforts.
- Excellent communication skills, with the ability to present complex data insights in a clear and actionable way to both technical and non-technical stakeholders.
Bonus Points:
- Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Google Cloud.
- Knowledge of natural language processing (NLP) for customer sentiment analysis or content recommendation systems.
- Familiarity with marketing attribution models and tools for analyzing cross-channel marketing performance.
- Master’s degree in Data Science, Statistics, Marketing Analytics, or a related field.
- Experience in personalization and recommendation engines for optimizing customer engagement.
Why Best Buy?
- Innovative Culture: Join a dynamic, forward-thinking team where creativity meets data-driven solutions. Work in an environment that values innovation and constantly seeks new ways to improve marketing strategies.
- Collaboration: Be part of a cross-functional team that thrives on knowledge sharing, where your insights directly influence marketing initiatives and business outcomes.
- Growth Opportunities: We invest in our employees’ growth with mentorship, ongoing learning opportunities, and career advancement within the organization.
- Impact: See your work directly contribute to the growth of the business by shaping marketing strategies that reach and engage thousands of customers.
- Work-Life Balance: Enjoy flexible work hours and remote work options that provide a balanced, healthy lifestyle.
- Competitive Compensation: We offer a competitive salary, performance-based bonuses, and a comprehensive benefits package designed to support your well-being and career.
