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.
