Data Scientist - Predictive Analytics & Forecasting

Placements24

Polokwane

Hybrid

ZAR 700,000 - 1,200,000

Full time

5 days ago
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Benefits offered by this job

Competitive salary
Health and retirement benefits
Growth opportunities
Polokwane project

Job summary

WhatJobs Direct in Polokwane, Limpopo, ZA is seeking an analytical Data Scientist focused on predictive analytics and forecasting. You will develop sophisticated models to drive business decisions using large datasets and advanced statistics and ML techniques.

Key responsibilities include building and validating time-series forecasts, exploring data, performing feature engineering, and communicating insights to stakeholders. Experience with Python or R, SQL, and big data tools is preferred.

Qualifications

  • Master's or PhD in a quantitative field.
  • Proven experience in predictive modeling and forecasting.
  • Proficiency in Python or R with relevant libraries.
  • Experience with time-series analysis (ARIMA, Prophet, ETS).
  • Strong ML algorithms and evaluation knowledge.
  • Data visualization experience.
  • Excellent communication and collaboration.
  • SQL and database management desirable.
  • Familiarity with Spark or big data tech is a plus.

Responsibilities

  • Develop predictive models using statistical and machine learning techniques.
  • Perform data exploration, feature engineering, and data visualization.
  • Build and validate time-series forecasting models for business applications.
  • Collaborate with stakeholders to translate business problems into DS solutions.
  • Design and conduct A/B tests to evaluate model performance.
  • Clean, process, and transform large datasets from various sources.
  • Communicate findings clearly to technical and non-technical audiences.
  • Stay updated with latest advancements in data science and predictive modeling.

Skills

Python
R
SQL
Time-series forecasting
Machine learning
Data visualization
Statistical modeling
A/B testing
Communication

Education

Master's or PhD in quantitative field

Tools

Spark

Job description

About the Role

Our client, WhatJobs Direct, a forward-thinking company in AI & Emerging Technologies, is seeking an analytical and skilled Data Scientist specializing in Predictive Analytics and Forecasting. This role, based in Polokwane, Limpopo, ZA, is crucial for developing sophisticated models that drive business decisions through accurate predictions and insights. You will work with complex datasets, applying advanced statistical and machine learning techniques to uncover trends and forecast future outcomes. This is an exciting opportunity to apply your data science expertise to impactful projects in the heart of Limpopo.

Key Responsibilities
  • Develop and implement predictive models using statistical and machine learning techniques.
  • Perform data exploration, feature engineering, and data visualization to uncover insights.
  • Build and validate time-series forecasting models for various business applications.
  • Collaborate with stakeholders to understand business problems and translate them into data science solutions.
  • Design and conduct A/B tests and other experiments to evaluate model performance.
  • Clean, process, and transform large datasets from various sources.
  • Communicate findings and recommendations clearly and effectively to technical and non-technical audiences.
  • Stay updated with the latest advancements in data science, machine learning, and predictive modeling techniques.
Requirements
  • Master's or PhD degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • Proven experience as a Data Scientist with a strong focus on predictive modeling and forecasting.
  • Proficiency in statistical programming languages like Python (with libraries such as pandas, scikit-learn, statsmodels) or R.
  • Experience with time-series analysis and forecasting methods (e.g., ARIMA, Prophet, Exponential Smoothing).
  • Solid understanding of machine learning algorithms and model evaluation techniques.
  • Experience with data visualization tools and techniques.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Experience with SQL and database management is desirable.
  • Familiarity with big data technologies (e.g., Spark) is a plus.
Benefits
  • Competitive salary and performance incentives.
  • Comprehensive health and retirement benefits.
  • Opportunities for professional growth and learning new technologies.
  • Work on challenging and impactful projects in Polokwane, Limpopo, ZA.
  • Collaborative and innovative team environment.
  • Contribute to data-driven decision-making within a leading technology firm.
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