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Open nowFirst seen 24 hours ago

Senior Engineer - Data Science

Axonect59 open roles

Where
Kuala Lumpur, Malaysia
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Your applicationOpen nowSenior Engineer - Data ScienceAxonect · Kuala Lumpur, Malaysia

  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 Axonect'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.

12.4% of postings close within 7 days. Measured by our own scanner across the market. Axonect postings stay open a median of 5 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: first seen 24 hours ago

Axonect median: 5 days open

The posting

Key Responsibilities

  • Data Collection & Preparation – Extract, clean, validate, and consolidate data from multiple sources
  • Data Analysis & Visualization – Perform exploratory analysis, identify trends, and develop dashboards and reports
  • Data Pipeline Development – Support automated data processing, transformation, and integration workflows
  • AI & Machine Learning Support – Assist in developing, testing, and deploying predictive models and AI solutions
  • Data Quality & Governance – Maintain data accuracy, consistency, documentation, and compliance with data policies
  • Business Intelligence & Insights – Translate data findings into actionable insights to support business and operational decisions
  • Continuous Improvement – Optimize data workflows, analytical tools, and reporting processes under senior engineers' guidance

Person Specifications

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
  • 3-5 years of experience in Data Science, Analytics, Machine Learning, or a related data-focused role
  • Strong proficiency in Python, SQL, data analysis, and data visualization tools
  • Experience with data preparation, exploratory data analysis, dashboarding, and business intelligence reporting
  • Knowledge of machine learning concepts, predictive modeling, and AI solution development
  • Familiarity with data pipelines, data quality practices, and translating data insights into actionable business recommendations

Vendor submissions - 12 months

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  1. A CV for this posting

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  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 Axonect's form

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

  4. Every reply, sorted

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    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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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.

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The numbers game

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