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Open nowFirst seen 3 days ago

Senior Data Scientist

Boardroom Appointments3,354 open roles

Where
Johannesburg, South Africa
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Your applicationOpen nowSenior Data ScientistBoardroom Appointments · Johannesburg, South Africa

  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 Boardroom Appointments'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

Minimum Requirements:

  • Matric (Grade 12)
  • 5-7 years of experience manipulating data sets and building statistical models.
  • Having a degree in one of the following fields, Mathematics, Computer Science or another quantitative field is advantageous.
  • Strong problem-solving skills with an emphasis on product development.
  • Excellent written and verbal communication skills for coordinating across teams.
  • Proven track record of implementing ML systems, using TensorFlow and PyTorch.
  • Strong experience
  • Using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Querying databases/datasets
  • Statistical and data mining techniques: GLM/Regression, Rando Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Visualizing/presenting data for stakeholders using: D3, ggplot, Kibana, Olik, Sisense etc.
  • A variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

Responsibilities:

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Boardroom Appointments'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 Boardroom Appointments'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

    Boardroom Appointments'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

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

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

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