GoDaddy is hiring a

Senior Data Scientist

Pune, India

Location Details:  Pune, India

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​

This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team.

Join Our Team...

The GoDaddy Payments Risk and Growth Strategy team is crucial to GoDaddy's dedication to providing exceptional commerce and payments solutions to our 20 million entrepreneurs. As a Data Scientist III on the Strategy team, you will contribute significantly to improving payment security, reducing fraud risks, and identifying growth opportunities for GoDaddy Payments!

Your role will involve tackling some of the most intricate and dynamic challenges within GoDaddy, bringing to bear data-driven insights and strategic savvy to drive effective scalability. Join us in crafting the future of online commerce and payments at GoDaddy!

What you'll get to do...

  • Develop machine learning-based Risk models with a strive to make GoDaddy Payments one of the most secure and merchant-friendly payment facilitators
  • Develop machine learning models to identify growth opportunities for GoDaddy Payments, enabling faster and more efficient expansion
  • Proficient in applying both qualitative and quantitative methods to generate practical strategies, engage with collaborators and customers, and propose actionable recommendations
  • Build data pipelines to prepare data for rapid learning in a scalable manner
  • Design and build machine learning and data infrastructure by partnering with data and production engineering teams
  • Develop new complex features to be used to build the next generation of ML models by combining techniques and business insight
  • Provide data science support for go-to-market strategies and risk operations
  • Skilled in collaborating within a technical setting with a diverse team to shape product strategy, establish needs, align resources, and navigate important achievements
  • Proven experience in delivering technical and leadership presentations
  • Flexibility to attend meetings in different international time zones at least 2 times a week

Your experience should include...

  • 5+ years of hands-on coding experience with machine learning tool sets, including Python, SQL, and Spark
  • 5+ years experience applying machine learning techniques such as Gradient Boosting, Logistic Regression, Decision Trees
  • 4+ years of hands-on experience with data extraction, cleaning, analysis, and visualization; experience with non-structural data
  • Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical collaborators effectively

You might also have...

  • A degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or another quantitative subject area, or equivalent experience in these fields
  • Experience in the credit card payments industry

We've got your back...  We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to [email protected]. 

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

Apply for this job

Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!

Get hired quicker

Be the first to apply. Receive an email whenever similar jobs are posted.

Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Senior Data Scientist Q&A's
Report this job
Apply for this job