Join our Team
About this opportunity:
In this role you will report to GFGO Data office - Head of Advanced AI & Automation and will be contributing to our efforts in both artificial intelligence (AI) and automation technologies, aligning with overall data strategy and business objectives. You will play a key leadership role in transforming raw data into actionable insights that drive business value. You will collaborate closely with cross-functional teams across the organization to identify key business challenges, design and implement innovative data-driven solutions, and effectively communicate your findings to both technical and non-technical audiences.
What you will do:
Partner with business stakeholders to understand their needs, translate them into technical requirements, and develop data-driven solutions.
Communicate complex AI concepts to non-AI stakeholders (Data Domains, Enablers, etc.) and facilitate multi-functional collaboration.
Establish and enforce data governance policies and procedures to ensure the ethical and responsible use of data in AI applications.
Implement Objective Key Results to measure the performance and impact of AI and automation solutions & regularly report on the progress and success of AI initiatives to the Head of Data office.
Lead and manage complex data science projects from inception to deployment, ensuring successful delivery and impact on business objectives.
Develop, implement, and optimize machine learning models and algorithms to solve real-world business problems.
Perform data cleaning, wrangling, and transformation to ensure data quality and prepare it for analysis.
Conduct exploratory data analysis (EDA) to uncover hidden patterns, trends, and insights within data sets.
Develop clear and concise data visualizations to effectively communicate complex findings to both technical and non-technical audiences.
Stay up to date on the latest advancements in data science methodologies and tools, and actively seek opportunities to incorporate them into our practices.
Mentor and guide junior data scientists within the team, fostering a collaborative and learning environment.
The skills you bring:
PhD in Statistics, Computer Science, Mathematics, or a related field (or) master's / bachelor's degree with significant work experience.
Minimum 7+ years of experience as a Data Scientist or similar role.
Proven track record of successfully leading and delivering data science projects with tangible business impact.
Strong expertise in LLM, deep learning, machine learning algorithms (e.g., supervised learning, unsupervised learning, reinforcement learning) and statistical modelling.
Proficiency in programming languages such as Python, R, and familiarity with big data processing tools (e.g., Spark, Hadoop) is a plus.
Excellent communication and collaboration skills, with the ability to effectively translate complex technical concepts to a non-technical audience.
Strong problem-solving skills and a passion for applying data science techniques to solve real-world problems.
Ability to work independently and manage multiple projects simultaneously while meeting deadlines.
Why join Ericsson?
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world's toughest problems. You´ll be challenged, but you won't be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city:India (IN) || Bangalore
Req ID:756580