Flexe is transforming the $1.5T logistics industry by providing technology-powered flexible warehousing infrastructure to large Enterprise companies, aiming to create unprecedented agility and flexibility in their supply chains. The Director of Data Science will lead the data science function, drive strategic data initiatives, and build a high-performing team to solve complex business problems and drive growth through advanced analytics and AI.
Requirements
- 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).
- Experience with MLOps and productionizing machine learning models.
- 7+ years of hands-on experience in a data science or machine learning role.
Responsibilities
- 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.
- 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.
- Recruit (as needed), mentor, and develop a team of talented data scientists, machine learning engineers, and data analysts.
- Define a data science strategy in support of the overall business strategy and objectives and execute against it.
Other
- 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.
- Exceptional communication and presentation skills, with the ability to tell compelling stories with data.
- Strong business acumen and strategic thinking, with the ability to connect data science initiatives to business goals.
- Excellent leadership, project management, and organizational skills.
