Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 3 days ago

Principal Data Scientist

Lighting243 open roles

Where
Bangalore
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPrincipal Data ScientistLighting · Bangalore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Lighting's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. Lighting postings stay open a median of 14 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 3 days ago

Lighting median: 14 days open

The posting

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.

More about the role

We’re looking for a Principal Data Scientist to work on GenAI & machine learning 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 GenAI, LLM fine tunning, 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 GenAI solution development and implementation, should be aware of latest tools and technology in the area of GenAI, Agentic AI, and should be a power user of at least one of GenAI tool (ChatGPT, Copilot etc.). The candidate should be proficient in explaining the analytic models and outcomes to business stakeholders.

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

What you’ll do

  • Lead, guide and advice a team of Data Scientists and manage project timelines, resources, and deliverables
  • Conceptualize, develop and implement GenAI/Agentic AI solutions at an enterprise level.
  • Focus on productization & scalability of GenAI/ML solutions that can be replicated across multiple markets / businesses to solve similar business problems. Work with business groups to ensure models can be implemented as part of a delivered solution and can be replicated across multiple markets / countries
  • Keep abreast of the latest developments in the field of GenAI, Agentic AI, ML, data science, by continuous learning and proactively champion promising new methods relevant to the problems at hand
  • Develop and implement statistical models, machine learning algorithms, and other advanced analytics techniques to solve complex business problems
  • Conduct data analysis, data mining, and data visualization to identify patterns and insights in large datasets
  • Collaborate with cross-functional teams to develop and implement data-driven solutions that improve business performance
  • Present findings and recommendations to senior leadership and stakeholders in a clear and concise manner
  • Stay up-to-date with the latest trends and advancements in data science, machine learning, and artificial intelligence
  • Be overall responsible for all the Data Science related deliverables and in meeting accuracy targets
  • Research, design and prototype robust and scalable models based on machine learning, data mining, and statistical modeling to answer key business problems
  • Present findings to stakeholders to drive improvements and solutions from concept through to delivery

What you’ll need

  • Working knowledge in GenAI, Agentic AI solution development and implementation, finetuning open source LLM’s and contextualizing the same with internal enterprise data.
  • Working knowledge with at least one of the GenAI tool (ChatGPT, Copilot etc.)
  • PhD / Masters / B.Tech in computer science, computer engineering with 12+ years of demonstrated experience in the Advanced Analytics / Machine Learning field
  • Strong programming skills in languages such as Python, and SQL and various open source machine learning and analytics packages
  • Demonstrated history of driving and delivering analytics models and solutions
  • Deep knowledge of fundamentals of machine learning, data mining and statistical modeling, and extensive experience applying these methods to real world problems
  • Hands on working experience on at least one of the MLOps Platform like AWS Sagemaker, Dataiku, Data Robot
  • Experience with big data technologies such as Hadoop, Spark, and NoSQL databases
  • Excellent communication and interpersonal skills, with the ability to work effectively in a team environment
  • Strong problem-solving skills and the ability to think creatively and strategically. Ability and inclination to work in multi-disciplinary environments, and desire to see ideas realize in Practice.

What you’ll get in return…

  • Opportunity to work on some of the highly complex and challenging business problems across a variety of functional domains and consumer markets.
  • Competitive salary depending on experience.
  • Extensive set of tools to drive your career, such as a personalized learning platform, free training and
  • Coaching

Everything we’ll do for you

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 27,000+ people. We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce present in 70+ countries, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together.

Come join us, and together we can light up the future.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Lighting's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Lighting's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Lighting's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.