Brooksource
Senior Data Scientist
6-month contract (opportunity for extension)
Remote (potential travel up to 25%)
Brooksource is currently seeking a Senior Data Scientist to support our Fortune 500 consumer packaged goods and food client. This individual will be responsible for developing and implementing advanced analytics, machine learning models, and optimization engines that drive business decisions in areas like marketing, consumer insight, and product development. They will collaborate with product owners, business partners and other Data Scientists in the consumer marketing and media space to define technical problem statement and hypothesis to test. In addition, they will develop efficient and accurate analytical models that mimic business decisions.
Responsibilities
Work closely with data science leadership, machine learning engineering, and business partners / product owners to develop optimization and machine learning models using best in class tools and technology.
Provide data science leadership within a product team through strong partnership, actionable insights, strategic and tactical technical roadmap recommendations.
Develop, 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 complex 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 scientist on key technical and domain topics through solution reviews and mentoring.
Responsible for monitoring and improvement of model performance metrics in terms of accuracy, optimal / near optimal recommendations with feedback incorporated from business partners
Be part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists
In addition to project‑based work, will be expected to participate in activities such as strategic planning and technical standards definition, modeling documentation
Minimum Qualifications
5‑6 years of professional experience working as a hands‑on coding Data Scientist
3‑4 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 related quantitative discipline required
SQL mastery required
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), Ensemble (Gradient Boosting, XGBoost)
Comfortable working with large datasets & writing complex 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 complex and challenging problems
Bias for action with 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 related quantitative discipline with work experience in supply chain, trade, pricing technologies or data science
Experience with GCP and Google Data Lakes.
Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.
Benefits
Vision insurance
Medical insurance
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Food and Beverage Manufacturing
Referrals increase your chances of interviewing at Brooksource by 2x
#J-18808-Ljbffr
Remote (potential travel up to 25%)
Brooksource is currently seeking a Senior Data Scientist to support our Fortune 500 consumer packaged goods and food client. This individual will be responsible for developing and implementing advanced analytics, machine learning models, and optimization engines that drive business decisions in areas like marketing, consumer insight, and product development. They will collaborate with product owners, business partners and other Data Scientists in the consumer marketing and media space to define technical problem statement and hypothesis to test. In addition, they will develop efficient and accurate analytical models that mimic business decisions.
Responsibilities
Work closely with data science leadership, machine learning engineering, and business partners / product owners to develop optimization and machine learning models using best in class tools and technology.
Provide data science leadership within a product team through strong partnership, actionable insights, strategic and tactical technical roadmap recommendations.
Develop, 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 complex 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 scientist on key technical and domain topics through solution reviews and mentoring.
Responsible for monitoring and improvement of model performance metrics in terms of accuracy, optimal / near optimal recommendations with feedback incorporated from business partners
Be part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists
In addition to project‑based work, will be expected to participate in activities such as strategic planning and technical standards definition, modeling documentation
Minimum Qualifications
5‑6 years of professional experience working as a hands‑on coding Data Scientist
3‑4 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 related quantitative discipline required
SQL mastery required
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), Ensemble (Gradient Boosting, XGBoost)
Comfortable working with large datasets & writing complex 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 complex and challenging problems
Bias for action with 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 related quantitative discipline with work experience in supply chain, trade, pricing technologies or data science
Experience with GCP and Google Data Lakes.
Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.
Benefits
Vision insurance
Medical insurance
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Food and Beverage Manufacturing
Referrals increase your chances of interviewing at Brooksource by 2x
#J-18808-Ljbffr