Sr. Data Scientist - Marketing Science & Offerings

About the Role:

As the Senior Data Scientist, you will play a key role in 

• Developing advanced marketing measurement capabilities that unlock our company vision to transform the measure of marketing success. You will be at the forefront of developing and delivering differentiated AI assisted marketing data science and measurement solutions focused on maximizing profitable enterprise revenue and customer value for our clients.   

• Partnering with driven, solution-minded experts, business leaders, analysts, and scientists at Ovative in engaging with clients, and defining approaches and road maps for solutions to client problems. 

• Technical mentoring of junior data scientists, guiding their algorithmic, testing methodological approaches, and reviewing their code. 

• Working with technology leaders, product owners and engineers to convert novel solutions developed to scalable new services and product offerings at Ovative. 

• Being a part of an inclusive culture that inspires and motivates the team and attracts new, diverse technical talent to the organization. 

Responsibilities of a Sr. Data Scientist: 

• Lead technical contributor in a high-performance data science & advanced analytics team, responsible for your team’s productivity, operational excellence, and business impact 

• Drive value across multiple business verticals by leading the technical development and deployment of impactful and interpretable models 

• Partner closely with Engineering and Product Management to scale your team’s innovative measurement solutions into product and service offerings 

• Provide mentoring, training, and other opportunities for effective technical development of data scientists 

• Assist with technical parts of business development as needed, including RFP response, sales and conference presentations using AI assistance where applicable. 

• Build strong relationships across the organization to understand internal stakeholder needs for trusted data science support   

Requirements: 

• 5+ years of hands-on experience in data science, analytics, or a related quantitative field, with a strong track record of delivering business value through technical innovation. 

• Proven success as a technical contributor in high-performing data science teams, preferably within product-centric or consulting environments. 

• Very Important: Ability to quickly learn and execute 

• Expertise in advanced statistical modeling and machine learning, with hands-on experience preferred in techniques such as: 

• Media Mix Modeling (MMM) 

• Incrementality Testing/ Causal Inference 

• Attribution Modeling 

• Customer Analytics: Lifetime Value (CLV) Modeling, Segmentation  

• Generative AI Data Science 

• Proficiency in the following preferred programming and data environments: 

• Languages: SQL, and/or R or Python 

• Tools: Git, Docker, MLOps, POSIT IDEs, cloud notebooks, Frameworks like Shiny, Streamlit, etc 

• Data platforms: BigQuery, Databricks 

• Familiarity with cloud infrastructure and deployment practices (e.g., AWS/GCP/Azure), MLOps pipelines, and containerization is a plus. 

• Experience with Bayesian/Probabilistic modeling frameworks (e.g., PyMC, Stan) is a plus. 

• Strong business acumen, especially within digital and traditional marketing domains; ability to translate data insights into clear strategic recommendations. 

• Excellent communicator: able to lead conversations with technical and non-technical stakeholders, including senior client partners and internal executives. 

• Demonstrated leadership and mentorship skills; able to think independently, guide junior team members and influence cross-functional teams. 

• Bonus: Familiarity with Generative AI applications in marketing analytics (e.g., using LLMs for data summarization, content tagging, or creative testing insights).