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Open nowFirst seen 41 hours ago

Data Scientist

Supersourcing80 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowData ScientistSupersourcing · Remote

  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 Supersourcing's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.8% 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. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 41 hours ago

The posting

We are seeking experienced data scientists to join our team in creating an AI-driven fintech solution. As part of our cross-functional team, you will play a crucial role in ideation, research, prototyping, and production. You will analyze complex datasets, develop predictive models, and extract actionable insights to drive business growth and enhance our products. Your expertise will ensure the best user experience for our customers.

Responsibilities

Build, deploy, and scale Data Science solutions on generating AI-driven transaction insights for users Understand business objectives and deep dive into existing data to recommend new product ideas to solve for the most impactful customer problems Use your experience in Data Science, Machine Learning, Software Engineering, distributed systems to develop these systems, and work with the platform team to take the systems to production Work with Business teams to continuously refine and improve the systems to cater to ever-changing needs Align with stakeholders on key product metrics, design and propose experimentation strategies. Launch A/B tests, analyze experiment results and provide recommendations Design and own frontend and backend data specs for new products, while collaborating with engineering teams to ensure accurate and timely data collection Understand business objectives and deep dive into existing data to recommend new product ideas to solve for the most impactful customer problems Use data to identify trends, spot anomalies and deep dive into their root causes Requirements Graduate of BS/BA Computer Science, Information Technology, Statistics, Mathematics, Operations Research, or other related courses

Senior Data Scientist -

Proven experience as a Data Scientist (preferably 5 years), with a strong track record of delivering impactful data-driven solutions. Strong problem solving, quantitative, and analytical skills Solid knowledge of Data Science and Machine Learning fundamentals, with proven experience formulating Data Science solutions to business problems Proven ability to recognize business needs and to communicate with multiple stakeholders within the Product Management, Business and Operations teams Proficiency in programming languages such as Python or R, along with expertise in data manipulation, analysis, and visualization Ability to deliver on tight timelines and move quickly with cross-functional teams to execute on decisions while maintaining attention to detail Experience in handling Warehouse operation data is an advantage

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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Supersourcing'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 Supersourcing'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

    Supersourcing'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

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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3×

more interviews than doing it yourself with ChatGPT.

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  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

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