Remote Data Scientist - Big Data Analytics

Placements24

Johannesburg

Hybrid

ZAR 800,000 - 1,200,000

Full time

32 hours ago
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Benefits offered by this job

Health benefits
Professional development
Paid time off
Performance bonuses

Job summary

Placements24 is seeking a highly analytical Remote Data Scientist to join a leading analytics firm in South Africa. You will extract insights from large datasets, build predictive models, and develop data-driven solutions in a fully remote setup.

The role requires a strong foundation in statistics and ML, hands-on big data experience with Spark/Hadoop, and proficiency in Python or R. You will collaborate with engineering and product teams and mentor junior data scientists while working remotely

Qualifications

  • Master's or Ph.D. in Statistics, Data Science, Computer Science, Economics, or a related quantitative field.
  • Minimum of 4 years of experience as a Data Scientist or in a similar analytical role.
  • Strong programming skills in Python or R, including libraries such as Pandas, NumPy, Scikit-learn, Statsmodels.
  • Proven experience with SQL and relational databases.
  • Hands-on experience with big data technologies (Spark, Hadoop, Hive).
  • Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
  • Excellent understanding of statistical modelling, ML algorithms, and experimental design.
  • Strong data visualization skills (Matplotlib, Seaborn, Tableau).
  • Effective communication and presentation skills for diverse audiences.

Responsibilities

  • Develop and implement advanced statistical models and machine learning algorithms to analyze large-scale datasets.
  • Design and execute data mining strategies to discover trends and patterns.
  • Build and deploy predictive models for forecasting, classification, and optimization.
  • Clean, transform, and prepare data for analysis, ensuring data quality and integrity.
  • Collaborate with stakeholders to define key business questions and translate them into data science problems.
  • Communicate complex findings and recommendations clearly through visualizations and reports.
  • Work with big data technologies and distributed computing frameworks (e.g., Spark, Hadoop).
  • Stay updated on the latest trends and techniques in data science and machine learning.
  • Contribute to the development of data infrastructure and best practices.
  • Mentor junior data scientists and contribute to team knowledge sharing.

Skills

Python
R
Pandas
NumPy
Scikit-learn
Statsmodels
SQL
Data Visualization
Communication skills

Education

Master's or PhD in Statistics / Data Science / Computer Science / Economics

Tools

Spark
Hadoop
Hive
AWS
Azure
GCP

Job description

About the Role

Our client, a leading analytics firm in the Scientific Research & Development sector, is seeking a highly analytical and skilled Remote Data Scientist . This is a fully remote position, open to candidates across South Africa . You will be instrumental in extracting actionable insights from vast datasets, building predictive models, and developing innovative data-driven solutions. This role demands a strong foundation in statistics, machine learning, and expertise in handling big data technologies. You will collaborate closely with engineering and product teams to identify opportunities for leveraging data to enhance business strategies and improve product performance. The ideal candidate is a proactive problem-solver, adept at communicating complex findings to both technical and non-technical stakeholders, and comfortable working independently within a distributed team. We are looking for someone passionate about turning data into strategic assets.

Key Responsibilities
  • Develop and implement advanced statistical models and machine learning algorithms to analyze large-scale datasets.
  • Design and execute data mining strategies to discover trends and patterns.
  • Build and deploy predictive models for forecasting, classification, and optimization.
  • Clean, transform, and prepare data for analysis, ensuring data quality and integrity.
  • Collaborate with stakeholders to define key business questions and translate them into data science problems.
  • Communicate complex findings and recommendations clearly through visualizations and reports.
  • Work with big data technologies and distributed computing frameworks (e.g., Spark, Hadoop).
  • Stay updated on the latest trends and techniques in data science and machine learning.
  • Contribute to the development of data infrastructure and best practices.
  • Mentor junior data scientists and contribute to team knowledge sharing.
Requirements
  • Master's or Ph.D. in Statistics, Data Science, Computer Science, Economics, or a related quantitative field.
  • Minimum of 4 years of experience as a Data Scientist or in a similar analytical role.
  • Strong programming skills in Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, Statsmodels).
  • Proven experience with SQL and working with relational databases.
  • Hands-on experience with big data technologies (e.g., Spark, Hadoop, Hive).
  • Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
  • Excellent understanding of statistical modeling, machine learning algorithms, and experimental design.
  • Strong data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
  • Effective communication and presentation skills for diverse audiences.
  • Must be legally authorized to work remotely within South Africa.
Benefits

Our client offers a competitive salary, comprehensive health benefits, and a flexible remote work arrangement allowing you to work from anywhere in South Africa . We provide a generous professional development budget for training, conferences, and certifications, fostering continuous learning and career growth. Employees benefit from a collaborative online environment, challenging projects, and the opportunity to make a significant impact on data-driven decision-making. Additional perks include paid time off and potential for performance-based bonuses, creating a rewarding and supportive remote work experience.

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