Data Scientist

findojobs-za; Gqeberha; Remote; ZAR 600 000 - 900 000; Full time

Job summary

A leading market research firm is seeking a highly skilled Data Scientist to join their team remotely. The role involves gathering and processing complex data to derive actionable insights and designing surveys using statistical methods. Candidates should possess at least 7 years of experience, a relevant degree, and proficiency in tools such as PowerBI and SQL. This is a unique opportunity to work on innovative projects within a dynamic environment.

Qualifications

• 7+ years of experience in Data Science.
• Experience with statistical tools and methodologies.
• Strong numeracy skills required.

Responsibilities

• Gather and process structured and unstructured data.
• Ensure data integrity and accuracy.
• Design and implement data review processes.
• Support survey design using statistical principles.
• Assist with complex data investigations.

Skills

Data mining

Statistical analysis

Proficiency in Excel

Pattern recognition

Problem solving

Attention to detail

Education

Bachelor's degree in Statistics or Applied Mathematics

Tools

PowerBI

SQL

SPSS

SAS

Job description

Position : Data Scientist Location : Remote Our client is seeking a highly skilled and analytical Data Scientist to join their market research team.

The Data Scientist needs practical knowledge and comprehensive understanding of research processes and techniques.

The successful individual will actively assist in the data production process and when required, within the departments.

The ideal candidate will be responsible for designing of the sample and survey, sample implementation instructions into field, monthly production and extrapolations to final client delivery, developing innovate models, and generating actionable insights.

This role requires a strong foundation in statistics, machine learning, and data visualization, combined with an understanding of market behaviour and dynamics.

Responsibilities

• Gather and process volumes of structured and unstructured data to identify trends and patterns
• Ensure data integrity, consistency, and accuracy through the use of statistical techniques to validate data for uniformity and accuracy
• Set up and perform additional data reviewing methods using statistics to design more efficient data review processes
• Design samples methodologies and universe for new projects during project setup phases
• Evaluate universe and sample designs for existing projects and implement changes where necessary
• Apply weighting techniques to survey data to ensure representativeness
• Support survey design using statistical principles to ensure validity and reliability
• Design a streamlined restatement process to avoid data step changes
• Work closely with all stakeholders to identify project health issues to develop effective solutions
• Manage and implement data rework / restatements processes for all tracking project projects
• Find innovative solutions to Universe challenges by applying a modelling approach
• Work closely with different teams to apply data-driven insights and provide guidance to the correct use of reported data
• Assist with complex data investigations and analysis
• Serve as a data strategist to identify and integrate existing and new datasets that can be leveraged to enhance our product capabilities, and work closely with the engineering team in the development of data products
• Stay updated with the latest tools, AI technologies and methods in Data Science
• Advise on innovative data collection strategies and recommend best suited approaches

Requirements

• 7+ years of experience in Data Science
• Bachelor's degree (or equivalent) in Statistics, Applied Mathematics, or related field
• Experience with Excel, PowerPoint, PowerBI, SQL, and statistical tools SPSS, SAS
• Proficiency with data mining, mathematics, and statistical analysis
• Extensive experience in pattern recognition and modelling
• A can-do attitude
• Eagerness to grow and learn with the company as part of a high-performing team
• Strong numeracy skills and exceptional attention to detail
• A proactive problem solver and quick thinker
• Ability to work effectively in a dynamic, research-oriented group
• Meticulous attention to detail
• Ability to manage competing priorities under demanding deadlines