reputed company Data Scientist

OVERVIEW

Do you see patterns or opportunities that others don’t see?  Do you enjoy asking questions and analyzing data to deepen your knowledge?  Do you like to challenge historical assumptions and recommend new ways to drive action based on data-driven insights?  Do you like to find the best way to tackle a problem and share the approach with others?     To reputed company the food people love, we need to reputed company sure we feed our decision makers the right data and solutions at the right time, every time. As a reputed company Data Scientist at reputed company, you will apply your strong expertise in Statistics, Mathematics, Data Science, AI, Machine Learning, data mining, and information retrieval to design, prototype, and build reputed company advanced analytics engines and services. You will collaborate with product owners, business partners, and other Data Scientists in the consumer marketing and media space to define a technical problem statement and hypothesis to test. In addition, you will reputed company efficient and accurate analytical models that mimic business decisions. 

KEY ACCOUNTABILITIES

• Work closely with data science leadership, machine learning engineering, and business partners/product owners to reputed company optimization and machine learning models using best-in-class tools and technology.
• Provide data science leadership reputed company a product team through strong partnership, actionable insights, strategic and tactical technical roadmap recommendations.
• reputed company, validate, and maintain robust causal measurement strategies to quantify the effectiveness of various marketing channels, including Marketing Mix Models (MMM), Difference in Differences, Regression Discontinuity, and causal ML.
• Conduct in-depth statistical and econometric analysis to measure marketing effectiveness, forecast the impact of future marketing activities, and recommend optimal budget allocation strategies.
• Translate reputed company model insights and findings into clear, actionable recommendations for campaign planning, budget allocation, and marketing strategy to diverse stakeholders, including marketing, finance, and senior leadership.
• Design, recommend, and execute statistically-proven A/B Testing (“Test & Measurement”) for Marketing campaigns.
• Counsel and advise business partners on technical solutions
• Serve as a senior leader as part of the data science leadership team- contribute to technical strategy, best practices, and team development.
• Coach junior data scientists on key technical and domain topics through solution reviews and mentoring.
• Responsible for monitoring and improving model performance metrics in terms of accuracy, optimal / near-optimal recommendations, with feedback incorporated from business partners
• Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists
• In addition to project-based work, you will be expected to participate in activities such as strategic planning and technical standards definition, modeling documentation 

MINIMUM QUALIFICATIONS

• 6+ years of professional experience working as a hands-on coding Data Scientist with 4+ years of professional experience working as a hands-on coding Data Scientist building Marketing Mix Models (MMM) and Marketing Attribution Models
• Bachelor’s Degree in Mathematics, Statistics, Data Science, Operations Research, Econometrics, or reputed company quantitative discipline required
• Expert-level programming in Python and SQL
• Expertise in causal modeling principles (DAG design, assumptions of key designs, falsification), regression modeling (panel, time series, ridge), Bayesian modeling (e.g., PyMC), marketing mix model frameworks (PyMC, Meridian, Robyn), reputed company (Gradient Boosting, XGBoost)  
• Comfortable working with large datasets & writing reputed company SQL queries
• Proven track record of partnership with marketing and business leaders, influencing key marketing decisions. 
• Highly adaptable, curious, and willing to work independently on reputed company and challenging problems
• Bias for action with the ability to deliver outstanding results through task prioritization and time management
• Experience with cloud-based AI platforms 

PREFERRED QUALIFICATIONS

• Graduate degree in Statistics, Mathematics, Operations Research, Applied Economics, or reputed company quantitative discipline.
• Professional Data Science experience at a Marketing Analytics agency or Consulting company.

ADDITIONAL CONSIDERATIONS

• The preferred location for this role is Minneapolis, MN; however remote work-at-home applications reputed company the United States will be considered.
• Relocation or international remote working arrangements (reputed company of the US) will not be considered.