Data Scientist - Machine Learning Specialist

Placements24

Bloemfontein

On-site

ZAR 700,000 - 1,100,000

Full time

3 days ago
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Benefits offered by this job

Competitive salary
Cutting-edge projects
Welcoming environment
Professional development
Retirement plan

Job summary

Placements24 in Welkom invites a Data Scientist specialized in Machine Learning to join our analytics team. You will develop and deploy ML models to drive business insights and product innovation.

You will work with large datasets, transform data for modeling, evaluate performance, and communicate results to technical and non-technical stakeholders.

The role offers opportunities for professional growth, collaboration, and staying at the forefront of ML advancements.

Qualifications

  • Master's or Ph.D. in Data Science, Statistics, CS or related field.
  • Proven experience building and deploying ML models.
  • Proficiency in Python or R and ML libraries.
  • Experience with SQL and Pandas.
  • Familiarity with big data and cloud platforms is a plus.
  • Strong analytical, problem-solving and communication skills.

Responsibilities

  • Develop, train, and deploy ML models for business applications.
  • Prepare large, complex datasets for analysis and modeling.
  • Evaluate model performance, iterate on designs, and improve accuracy and efficiency.
  • Collaborate with stakeholders to translate needs into data science projects.
  • Communicate findings and recommendations via visualizations and reports to technical and non-technical audiences.
  • Stay abreast of the latest advancements in ML and AI.

Skills

Machine learning
Python
R
Data analysis
Communication

Education

Master's or PhD in Data Science/Statistics/CS

Tools

TensorFlow
PyTorch
scikit-learn
SQL
Pandas

Job description

About the Role

Our client is seeking an innovative and detail-oriented Data Scientist with a specialization in Machine Learning to join their growing analytics team in Welkom . This role will involve developing and deploying sophisticated ML models to drive business insights and product innovation. You will work with large, complex datasets, tackle challenging problems, and contribute to data-driven decision-making across the organization. The ideal candidate possesses a strong analytical mindset, expertise in ML algorithms, and a passion for uncovering hidden patterns within data to solve real-world business challenges.

Key Responsibilities
  • Develop, train, and deploy machine learning models for various business applications, including prediction, classification, and clustering.
  • Clean, process, and transform large, complex datasets to prepare them for analysis and modeling.
  • Evaluate model performance, iterate on designs, and implement improvements to enhance accuracy and efficiency.
  • Collaborate with business stakeholders to understand their needs and translate them into data science projects.
  • Communicate findings and recommendations clearly through visualizations and reports to both technical and non-technical audiences.
  • Stay abreast of the latest advancements in machine learning and artificial intelligence.
Requirements
  • Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
  • Proven experience as a Data Scientist with a strong focus on building and deploying machine learning models.
  • Proficiency in programming languages like Python or R, and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with data manipulation and analysis tools (e.g., SQL, Pandas).
  • Familiarity with big data technologies and cloud platforms is a plus.
  • Strong analytical, problem-solving, and communication skills.
Benefits
  • Competitive salary and comprehensive benefits package.
  • Opportunity to work on cutting-edge data science projects.
  • Collaborative and intellectually stimulating work environment in Welkom .
  • Professional development and training opportunities.
  • Contribution to impactful business decisions through advanced analytics.
  • Retirement savings plan with employer contributions.
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