Lead Data Scientist

About Signify

Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.

At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.

Join us, and together, we’ll transform our industry, making a lasting difference for brighter lives and a better world. You light the way.

More about the role

We’re looking for a Data Scientist to work on Deep learning, machine learning, data mining, and statistical modelingfor providing predictive and prescriptive enterprise analytics. Successful candidates will be expected to guide a

team of Data Scientists, investigate state of the art techniques in advanced machine learning and statistical modeling, and design, develop, and deploy state-of-art, scalable systems for innovative analytics applications across various functional areas (e.g. Finance, Sales, Marketing, Supply Chain, etc.). Applicants will be expected to work with a diverse set of data sources, such as time series data, graph data, semi-structured and unstructured data, and build statistical/machine-learning/Deep Learning/Gen AI models in support of on-demand, real-time analytic services. The applicant should also have strong skills in explaining the analytic models and outcomes to business stakeholders.

You’ll be part of the Signify’s Enterprise Data & Analytics team, based in Bangalore.

More about you

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field

• 4+ years of hands-on experience in data science or a related field with demonstrated history of delivering analytics models and solutions

• Strong programming skills in Python, PySpark or other statistical programming languages

• Strong foundation in machine learning and deep learning algorithms and expertise in natural language processing (NLP) and computer vision techniques

• Experience with popular deep learning frameworks such as TensorFlow and PyTorch

• Research and explore the latest advancements in generative AI, including techniques like natural language processing (NLP), computer vision, and machine learning

• Develop and implement generative AI models and algorithms to address specific business challenges

• Train and fine-tune generative AI models using large datasets and industry-specific knowledge to improve accuracy and efficiency

• Knowledge of cloud platforms like AWS, GCP, or Azure

• Strong problem-solving skills, communication skills and the ability to think creatively and strategically with a focus on business outco

Everything we’ll do for you

• Opportunity to work on some of the highly complex and challenging business problems across a variety of functional and business domains.

• Competitive salary depending on experience.

• Extensive set of tools to drive your career, such as a personalized learning platform, training and coaching

You can grow a lasting career here. We’ll encourage you, support you, and challenge you. We’ll help you learn and progress in a way that’s right for you, with coaching and mentoring along the way. We’ll listen to you too, because we see and value every one of our 30,000+ people.

We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce representing 99 nationalities, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together.