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Data Scientist III - job post

Indeed
(part of Recruit Holdings, Co., Ltd.)
4.2 out of 5 stars
Remote
₹70,90,000 - ₹1,06,30,000 a year

Job details

Here’s how the job details align with your profile.

Pay

  • ₹70,90,000 - ₹1,06,30,000 a year

Job type

  • Full-time

Benefits
Pulled from the full job description

  • Flexible schedule
  • Health insurance
  • Life insurance
  • Paid time off
  • Provident Fund
  • Work from home

Full job description

Our Mission

As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

(*comScore Total Visits, September 2023)

Day to Day

The Ranking team’s mission is to connect jobseekers with jobs through high-quality recommendations. We leverage Indeed’s data and advanced Machine Learning (ML) techniques to innovate in this area and push the boundaries of Artificial Intelligence (AI) at Indeed. Our recommendation engine powers multiple major Indeed products, evaluating tens of billions of matches daily and making data informed choices through continuous AB testing. As a Staff Data Scientist you would own a major workstream within a team, help drive technical direction for the team and guide other members of the team to achieve product/technical goals. On a daily basis you will explore data and formulate problem statements, develop and deploy predictive models while monitoring them in production and guide the team on the same. Collaborate with cross-functional teams, evangelize your team's work and stay updated with the latest advancements in the field.

Responsibilities

  • Build highly scalable and performant recommendation systems and technologies that can identify optimum matches between millions of jobs and millions of job seekers in real-time
  • Experiment with Proof of Concept Machine Learning (POC ML) model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology while collaborating with other teams
  • Mentor and grow other software engineers, data scientists, and Machine Learning Engineers across teams
  • Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the team to implement them
  • Represent Indeed at major Machine Learning conferences like Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), and International Conference on Learning Representations (ICLR)

Skills/Competencies

We are looking for someone with a deep interest in designing and building machine learning systems, loves thought-provoking assignments, is eager to learn, and wants to work with a variety of technologies to “help people get jobs”.

  • Bachelors in Computer Science, Mathematics, or related fields
  • 5+ years of industry experience as a Software Engineer, Data Scientist, or Machine Learning Engineer
  • Prior success deploying impactful Machine Learning solutions to large-scale production systems, while collaborating across teams.
  • Solid knowledge of data structures and algorithms
  • Strong sense of ownership and accountability as a key contributor in the technical and product domains
  • Knowledge and hands-on experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.)
  • Excellent written and verbal communication in English, effective with technical and business audiences

Salary Range Transparency

India 7,090,000 - 10,630,000 INR per year

Salary Range Disclaimer

The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.

Benefits - Health, Work/Life Harmony, & Wellbeing

We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners. Select your country and learn more about our employee benefits, program, & perks at https://benefits.indeed.jobs!

Equal Opportunities and Accommodations Statement

Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.

Indeed is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please contact Talent Attraction Accommodations at India: +91 0080091 90627, or by email at accommodations@indeed.com. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.

Indeed’s Employee Recruiting Privacy Policy

Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site’s user and privacy policy found at https://www.indeed.com/legal, we also want to make you aware of our recruitment specific privacy policy found at https://www.indeed.com/legal/indeed-jobs.

Reference ID: 44382

Job Type: Full-time

Pay: ₹7,090,000.00 - ₹10,630,000.00 per year

Benefits:

  • Flexible schedule
  • Health insurance
  • Life insurance
  • Provident Fund
  • Work from home

Supplemental Pay:

  • Joining bonus
  • Quarterly bonus

Application Question(s):

  • Are you authorised to work in India? Y/N
  • Are you a current or former Indeed Employee? Y/N
  • How did you hear about this role?

Experience:

  • SWE/Machine Learning/Data Scientist: 3 years (Required)
  • Data structures & Algorithms: 3 years (Required)
  • Deep learning: 1 year (Required)

Work Location: Remote

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