Description
Unlock your potential as a Vice President Data Scientist owning the full data science lifecycle from data acquisition to model deployment. Join our innovative team to deliver impactful solutions that shape business strategy and drive operational excellence. Make your mark by transforming complex data into actionable insights and scalable models. Bring your expertise to a collaborative environment focused on growth learning and strategic influence.
Job Summary :
As a Vice President Data Scientist you independently lead end-to-end data science initiatives from understanding business needs to deploying robust machine learning models. You collaborate with stakeholders to define requirements acquire and prepare data develop and validate models and communicate insights that inform strategic decisions. You ensure solutions are scalable reproducible and aligned with organizational objectives driving innovation and measurable business impact.
Job Responsibilities :
- Own the full data science lifecycle including data acquisition preparation modeling validation and deployment
- Analyze complex datasets to uncover trends patterns and actionable insights
- Design develop and implement machine learning models to solve business challenges
- Collaborate with stakeholders to translate business objectives into technical solutions
- Validate model performance and ensure scalability in production environments
- Communicate findings and recommendations through clear visualizations and reports
- Support data engineering efforts to maintain data quality and integrity
- Document processes methodologies and model outcomes for transparency and reproducibility
- Stay current with industry trends and emerging technologies in data science
- Present technical concepts and results to senior leadership and non-technical audiences
- Lead strategic analytics projects as an individual contributor
Required qualifications capabilities and skills :
Five years of experience in data science or a related fieldProven experience managing end-to-end data science projectsProficiency in Python and / or R for data analysis and modelingExperience with machine learning frameworks such as scikit-learn TensorFlow or PyTorchStrong understanding of statistical analysis and data mining techniquesExperience with data visualization tools such as Tableau Power BI or matplotlibFamiliarity with cloud platforms (AWS Azure or GCP) for model deploymentKnowledge of data engineering concepts and relational databasesExcellent problem-solving and analytical skillsStrong communication skills to present technical concepts to non-technical audiencesBachelors degree in Data Science Computer Science Statistics or a related fieldPreferred qualifications capabilities and skills :
Masters degree in Data Science Computer Science Statistics or a related fieldExperience with big data technologies such as Spark or HadoopBackground in deploying models in production environmentsExperience working in Agile teamsKnowledge of MLOps practicesIndustry certifications in data science or machine learningExperience presenting to senior leadershipRequired Experience :
Exec
Key Skills
Change Management,Financial Services,Growing Experience,Managed Care,Management Experience,Analysis Skills,Senior Leadership,Performance Management,Process Management,Leadership Experience,negotiation,Analytics
Employment Type : Full-Time
Experience : years
Vacancy : 1