Director of Data Science

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As a Data Science Director, you will establish and drive the vision for digital process and transformation in the operations. In this role, you will collaborate and/or lead a team involving areas of 4IR technologies, supply chain, engineering, manufacturing, development, etc to solve sophisticated problems with solutions. The focus area includes but is not limited to:

• Establish and drive enterprise roadmap and strategy that will propel the operations to be the most advanced global operations in the industry
• Enabling sophisticated modeling and algorithm across a broad spectrum of problems/opportunities to accelerate technology solutions and decision making
• Use diverse data streams for infusing autonomous intelligence into operations to increase agility and resilience

Successful candidate will have a successful track record of digital transformation and thought-leader. The individual is comfortable working in a multifaceted, iterative environment that also affords the stability of a global, well-established technology company. You will enable a broad focus across technology development initiatives exploring capabilities with artificial intelligence, advanced analytics, cognitive computing, machine learning, optimization, etc.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Establish and drive Digital Innovation roadmap and strategy using artificial intelligence, cognitive computing, physics-based modeling, data analytics, RPA, etc
• Interact with functional subject matter experts from Supply Chain, Process, Design, Development, Product Engineering, and Systems teams, to identify and deliver solutions and discover areas of the business that can be made autonomous and smarter
• Partner with various stakeholders in the business to identify capabilities and deploy solutions that generate high financial, operational, and sustainability impact
• Provide guidance on innovative analytical tools, methodologies, applications, and technologies
• Interact with business partners and lead discussions to understand the critical to success data needs and provide guidance on both technical and best practice processes.
• Provide thought leadership and participate with projects that involve any of the upstream or downstream processes.
• Engage and lead strategic projects with multi-functional internal and external team.

Qualifications

REQUIRED:

• PhD or Master’s degree in an Engineering or Science field; additional informative experience in Data Science preferred
• At least 5-10 years of related experience in management or thought-leadership positions with excellent knowledge in data science and business acumen
• Experience in a large technology company in process technology, product technology, design, or systems level development

PREFERRED:

• Consistent track record forming successful teams from scratch, managing under tight deadlines, and providing mentorship on strategies
• Deep experience in solving business problems across functions by translating them into solutions with measurable high business value
• Solid understanding and hands-on experience with Machine Learning/AI, Robotics, Cognitive computing, optimization, etc
• Experience crafting a Data Science Roadmap and executing the vision behind it
• Experience in solution architecture and its technology stacks and components. Familiarity with common data modeling approaches and a good understanding of how to deal with various datatypes, larger data sets, and parallel computing problems.
• Experience leading projects that span the fields of data science and data engineering using cluster computing environments such as Spark, Hadoop, cloud, and others
• Passion to teach others about data science and continue to learn new techniques. Monitor the market for emerging technologies for adoption and work on proof of concepts then scale for full deployment.

SKILLS:

• Excellent written and verbal English-language communication and presentation skills
• Demonstrated expertise in managing impact through others by leading full life cycle engagement from strategy to design and implementation
• Demonstrated ability to collaborate with teams and key partners, both in and outside the organization, to develop highly effective working relationships
• Expert knowledge of statistical programming languages such as R, Python, and SQL
• Strong analytical skills
• Results-oriented, with growth and imaginative mindset and strong dedication and passion to identify and implement improvement opportunities. Strong drive for results.
• Proven track record to perform in an environment characterized by volatility, uncertainty, complexity, and ambiguity (VUCA)
• Strong influencing skills and the ability to build strong interpersonal relationships
• Ability to assume high exposure responsibilities and interact with senior leadership
• Demonstrated capability to build highly effective and engaged teams
• Strong project management and organizational change skills and experience
• Ability to execute requests with strong attention to detail and strong time-management skills
• Proficiency in Agile Project Management. Agile Certified is an added advantage.