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Open nowFirst seen 6 hours ago

Junior Data Scientist

SavageOne Pty Ltd245 open roles

Where
Johannesburg, South Africa
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Your applicationOpen nowJunior Data ScientistSavageOne Pty Ltd · 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 SavageOne Pty Ltd'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.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 6 hours ago

The posting

Job Title: Junior Data Scientist

Company Overview: SavageOne stands as a pioneering force in the realm of technology companies on a global scale. We are dedicated to spearheading innovation by harnessing the latest technologies and data-driven insights to instigate transformative shifts and foster sustainable solutions. Our team comprises a diverse ensemble of exceptionally talented individuals driven by a shared passion for leveraging data science to effect positive change.

Position Overview: We are seeking a motivated and talented Junior Data Scientist to join our globally distributed team. As a Junior Data Scientist at SavageOne, you will have the opportunity to collaborate with top-tier professionals from around the world, working on challenging projects that push the boundaries of data science and drive meaningful outcomes.

Key Responsibilities:

  • Clean, preprocess, and analyze large datasets from various sources to extract actionable insights and identify patterns.
  • Develop and implement machine learning models and algorithms to solve complex business problems and optimize processes.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Utilize statistical techniques to conduct hypothesis testing, A/B testing, and other analytical experiments to validate models and findings.
  • Communicate findings and insights effectively to both technical and non-technical stakeholders through clear visualizations, reports, and presentations.
  • Stay updated with the latest advancements in data science, machine learning, and related fields, and contribute to knowledge sharing within the team.

Requirements:

  • Bachelors degree or higher in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • Strong proficiency in programming languages such as Python, R, or Java, with experience in data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Solid understanding of data analysis techniques, statistical concepts, and machine learning algorithms.
  • Experience with SQL and relational databases for data extraction and manipulation.
  • Excellent problem-solving skills and the ability to work independently as well as part of a globally distributed team.
  • Strong communication skills with the ability to articulate complex findings in a clear and concise manner.
  • Prior experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
  • Passion for data science and a drive to continuously learn and grow in a fast-paced and dynamic environment.
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  1. A CV for this posting

    Written against SavageOne Pty Ltd'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 SavageOne Pty Ltd'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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  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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