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.

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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.