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Open nowFirst seen 3 days ago

Data Science Lead

Talent Insider1,155 open roles

Where
South Jakarta, Jakarta, Indonesia
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Your applicationOpen nowData Science LeadTalent Insider · South Jakarta, Jakarta, Indonesia
  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 Talent Insider'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.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

About the Company:

Talent Insider is an upcoming HR Consultancy Service, founded in 2021. Our clients have been some of the leading brands in Indonesia, and this service continues to expand. Registered in Singapore & Indonesia, we can assist with your growth plans and strategies, and continue to expand our regional presence with strong regional partners to assist our client in recruitment and branding strategy.

Job Description:

  • Take A Leadership Role In Pre-sales Activities Of AI Projects, Including The Development And Execution Of AI POCs, End-user Workshops, And RFP Responses
  • Lead And Provide Guidance For AI Project Delivery, From Project Definition, Client Management, And Communication Of Key Insights.
  • Collaborate With The Head Of Data Analytics, And Project Managers To Identify Skill Sets Required For Successful Project Delivery.

Job Requirements:

  • BS degree or above in a quantitative discipline (e.g., Statistics, Mathematics, CS) or equivalent practical experience.
  • Minimum 6+ years in the data industry, with people management experience.
  • Proficiency in Python/R, and handling large datasets.
  • Strong analytical and problem-solving ability with attention to detail.
  • Familiarity with PySpark is a plus.
  • Familiarity with leading data science and data warehouse technologies is a plus.
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3×

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