Ovative Group is looking to transform the measure of marketing success by developing advanced marketing measurement capabilities and unlocking profitable growth for their clients.
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.
- 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.
Responsibilities
- Developing advanced marketing measurement capabilities that unlock our company vision to transform the measure of marketing success.
- 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.
- 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
Other
- 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.
- Strong business acumen, especially within digital and traditional marketing domains; ability to translate data insights into clear strategic recommendations.
- Ability to work in an inclusive culture that inspires and motivates the team and attracts new, diverse technical talent to the organization.
- Bachelor's degree in a quantitative field (e.g. mathematics, statistics, computer science, engineering) or equivalent experience
