Senior Data Scientist

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

Global Operations Strategy Organization is to discover the future, set strategies, and help define new standards of excellence to enable WD Global Operations to deliver sustainable competitive advantage. Digital Innovation being one of the pillars of the vision is to drive innovation and game-changer strategy, process, practice, and methodology to accelerate the Global Operations growth and excellence. Digital Innovation Office is seeking a Scientist 4 in the Data Science

Qualifications

• Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities, optimize business performance and/or improve KPIs
• Analyze large-scale structured and unstructured data; develop deep-dive analysis and machine learning / AI models to drive business value and improve KPIs
• Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business insights
• Design and analyze experiments to test new ideas. Convert the results into actionable recommendations. Independently craft compelling stories; make logical recommendations; drive informed actions
• Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights
• Initiate and drive projects to completion independently
• Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals
• Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects and initiatives
• Provide technical guidance and mentorship to junior team members on solution design
• Develop and code, software programs, algorithms, typically on very large datasets, from multiple sources, including IoT devices/sensors
• Assists in the design of user interface and business application prototypes
• Interprets actionable insights from large data and metadata sources and communicates the findings to product, service, and business leaders for product improvement

Additional Information

• Ph.D. or Master's Degree in related fields and research projects related to Analytics/Data Science with relevant industry or academia experience.
• At least 8 years of experience with SQL, Relational databases, Big Data platforms, AWS etc.
• Background in at least one programming language (eg. R, Python, Java, Scala/Spark)
• Experience in applied statistics and statistical modeling. Practical experience in the application of ML and AI algorithms.
• Experience with Hadoop or other MapReduce paradigms, and associated languages such as Hive, Presto, etc.
• Experience with manipulating massive-scale structured and unstructured data.
• Experience in solution architecture and its technology stacks and components. Familiarity with common data modeling approaches and 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

PREFERRED:

• Agile Certified is an added advantage
• 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
• Analytical mind and business acumen. Application understanding of machine-learning and operations research
• Excellent communications and presentation skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives. A great team player.
• Solid understanding and hands-on experience with Machine Learning/AI, Robotics, Cognitive computing, optimization, etc
• 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)
• Ability to execute requests with strong attention to detail and strong time-management skills
• Proficiency in Agile Project Management.