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.