Sr. Data Scientist - Predictive Planning

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 and offshore resources, 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 data science contributor in a high-performance multi-disciplinary team comprising of data science, data engineering, and full stack members, 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 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. Ability to quickly learn and execute 

• Expertise in machine learning, optimization algorithms, advanced statistical modeling, with hands-on experience in the areas listed below. 

• Demonstrated expertise in object-oriented programming in Python and industry best practices in writing scalable and maintainable code related to Media Mix Modeling (MMM) and Optimization algorithms (ex. Gradient-based, Convex optimization and Greedy algorithms)

• Experience with Linear Algebra, Bayesian modeling, and with Poetry, Docker and cloud services (such as Azure, Databricks) 

• Experience with Attribution Modeling and Generative AI Data Science is preferred, although not required

• Proficiency in the following preferred programming and data environments: 

• Languages: Python 

• Tools: Git, Docker, Poetry, Azure  

• Data platforms: BigQuery, Databricks 

• 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. 

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