Lead diagnostics development and commercialization for GSK's Oncology portfolio. Manage cross - functional teams to deliver innovative diagnostics while ensuring compliance with regulations.
About the role
- Director of Data Science at Flexe driving data strategy and leading a team of data professionals. Transforming logistics through data science and advanced analytics with a focus on enterprise solutions.
Responsibilities
- Define a data science strategy in support of the overall business strategy and objectives and execute against it.
- Identify new opportunities for leveraging data and advanced analytics to solve complex business problems and drive growth.
- Recruit (as needed), mentor, and develop a team of talented data scientists, machine learning engineers, and data analysts. Direct reports may include other Sr. Managers and/or Managers.
- Foster a culture of innovation, continuous learning, and data-driven decision-making within.
- Oversee the design, development, and deployment of predictive models, machine learning algorithms, and other advanced analytical solutions.
- Identify and prioritize AI-enabled features for our existing solutions (e.g., predictive analytics, intelligent automation, personalized recommendations, natural language processing).
- Ensure the accuracy, reliability, interpretability and usability of data science outputs.
- Collaborate closely with engineering, product, and business stakeholders to understand needs and translate them into data science initiatives.
- Communicate complex analytical insights clearly and concisely to diverse audiences at all levels of the organization.
- Help foster AI experimentation and diffusion across the organization.
- Establish and enforce best practices for data quality, data governance, and model lifecycle management.
- Stay abreast of industry trends and emerging technologies in data science and machine learning.
Requirements
- Education: A Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, Quantitative Economics, or a related quantitative field.
- Experience:
- 7+ years of hands-on experience in a data science or machine learning role.
- 3+ years of experience in a leadership or management position, with a proven track record of building and mentoring data science teams.
- Demonstrated experience in shipping AI-enabled products to market, with a focus on both new product development and feature augmentation of existing software.
- Technical Skills:
- Expertise in a programming language such as Python (including libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch) or R.
- Strong background in machine learning techniques, statistical modeling, and experimental design (A/B testing).
- Strong experience in model building, fine-tuning, RAG, and other latest methodologies in AI technologies.
- Proficiency in SQL for data extraction and manipulation.
- Experience with big data technologies and cloud platforms (AWS, Azure, or GCP).
Benefits
- Medical, dental, and vision insurance
- 401k with employer match
- Flexible Time Off Policy, with 10 company paid holidays
- 2 days of volunteer time off
- 12–15 weeks of paid parental leave, with eligibility based on tenure and in alignment with FMLA guidelines
- Fully remote, in-office, or hybrid work environment
- Monthly home internet stipend
- Employee support groups, social groups, and mentorship program
- Employee-driven programs for volunteering
Job title
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