Lead Data Scientist

Job TitleLead Data Scientist

Job Description

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 Lead Data Scientist to work on machine learning, data mining, and statistical modeling for 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 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

• 6+ 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, R, or other statistical programming languages

• Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner

• Collaborate with different stakeholders to define data-driven solutions and measure their impact

• Develop and deploy predictive models using statistical modelling, machine learning, deep learning techniques, evaluate model performance and make necessary adjustments to improve accuracy

• Hands on working experience on at least one of the MLOps Platform like AWS Sagemaker, Dataiku, Data Robot would be good to have

• Experience with data visualization tools such as Tableau or PowerBI would be good to have

• Strong problem-solving skills and the ability to think creatively and strategically

Everything we’ll do for you

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

• Competitive salary depending on experience

• Extensive set of tools to drive your career, such as a personalized learning platform, free 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.