Data Science & Operations Lead

Cloud and Network Services (CNS)

The team you’ll be part of

CCS service practice has embarked on a journey to build best in class Automation platform to support efficiencies in our managed service business.

We are looking for an enthusiastic leader with entrepreneurial mindset & intense experience in Data Science & Analytics to join engineering(R&D) team in CCS Service practice as Data Science & Operations Lead

This will be a leadership role, hence prior experience in managing a team of Data Science and Data Visualization experts is a must. You will be responsible for output produced by Data Science and Data Visualization teams.

As part of Engineering team, you will:

• Lead a team of Data science experts & data visualization engineers.
• Be prime responsible for ownership of all front-end development, architecture setup including setup of ETL and big data.
• Establish forward looking Data and technology objectives and developing the strategies and actions for the team to achieve them.
• Work with the latest open-source tools, libraries, platforms and languages to build data products enabling other analysts to explore and interact with large and complex data sets
• Partner with Product Owners and cross functional teams in a collaborative and agile environment
• Design rich data visualizations and interactive tools and solutions to communicate complex ideas to customers and company leaders.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Mentor other engineers and develop technical knowledge and skills to keep the enterprise on the cutting edge of technology.
• Define best practice and thought leadership around data science.
• Take initiatives and conduct exploratory data analyses and experimental designs, which will help the business to better understand trends and behavior within the market.
• Work with various departmental heads across the business in order to provide advanced analytic data modeling systems.
• Lead the development of big data capabilities and utilization as well as the coordination of cross-functional analytic initiatives.
• Collaborate with the data engineering team in creating big data applications using structure and unstructured data.
• Partner closely with product engineering to design, run, and analyze A/B and multivariate hypothesis tests aimed at optimizing customer experience, business KPIs and product funnels.
• Analyze experimental data with statistical rigor. Ensure accurate interpretation by combining business acumen with detailed data knowledge and statistical expertise.
• Collaborate with our growth team to find novel ways to activate and engage users.

Identify the immediate needs of the Machine Learning infrastructure, with a focus on setting up the ecosystem end to end. 

Your skills and experience 

You should have 15+years of experience in managing complex projects around Data Science and Data Visualization.

Good to have:

• Passion to answer Product/Engineering questions with data.
• Experience in leading high-performing data analyst teams.
• Experience in analytics tools (such as Pandas, R, SPSS, SQL, or Hadoop).
• Experience in handling crude data using the latest technologies and techniques, can perform the necessary analysis, and can present the acquired knowledge to associates in an informative way. 

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.

Join us and be part of a company where you will feel included and empowered to succeed.