Senior Data Scientist - On-site Position

Placements24; Willows (CA); On-site; USD 57,000 - 84,000; Full time

Benefits offered by this job

Competitive compensation

Health benefits

Pension contributions

Learning & development

State-of-the-art technology

Team events

Job summary

Our client in Welkom, South Africa seeks a Senior Data Scientist to join an innovative analytics team. You will design and deploy statistical models, ML algorithms, and predictive analytics to drive business decisions and strategic initiatives.

You will work on large, complex datasets, collaborate with stakeholders, and mentor junior data scientists while staying abreast of advances in data science and AI.

Qualifications

• Master's or PhD in Statistics, Computer Science, Mathematics, Physics, or related quantitative field.
• Minimum of 5 years of professional experience in data science or analytical roles.
• Proficiency in Python or R and libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and large datasets.
• Strong communication and presentation skills.

Responsibilities

• Design, develop, and implement statistical models and ML algorithms to solve business problems.
• Analyze large datasets to identify trends and insights.
• Develop predictive models for forecasting and optimization.
• Prepare data for analysis and modeling.
• Collaborate with stakeholders to translate needs into data science requirements.
• Communicate findings through visualizations and presentations.
• Mentor junior data scientists and contribute to knowledge base.

Skills

Python

R

Scikit-learn

TensorFlow

PyTorch

SQL

Data visualization

Statistical modeling

Machine learning

Communication skills

Education

Master's or PhD in Statistics/CS/Math/Physics or related field

Tools

Tableau

Matplotlib

Seaborn

Job description

About the Role

Our client is looking for an accomplished Senior Data Scientist to join their pioneering analytics team. This is an on-site position at our Welkom, Free State, ZA headquarters, offering a unique opportunity to work with large, complex datasets and drive critical business decisions through data-driven insights. You will be instrumental in developing advanced statistical models, machine learning algorithms, and predictive analytics solutions. The ideal candidate possesses a deep understanding of statistical modeling, programming, and data visualization, coupled with the ability to communicate complex findings to both technical and non-technical audiences. Join a team that is at the forefront of data innovation.

Key Responsibilities

• Design, develop, and implement statistical models and machine learning algorithms to solve business problems.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Develop predictive models for forecasting and optimization.
• Clean, transform, and prepare data for analysis and modeling.
• Collaborate with business stakeholders to understand their needs and translate them into data science requirements.
• Communicate complex findings and recommendations clearly through visualizations and presentations.
• Evaluate and improve the performance of existing models.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's knowledge base.

Requirements

• Master's or Ph.D. degree in Statistics, Computer Science, Mathematics, Physics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science or a related analytical role.
• Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL and working with large datasets.
• Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to a non-technical audience.
• Experience working in an on-site team environment.

Benefits

• Highly competitive salary commensurate with experience.
• Comprehensive health and wellness benefits package.
• Generous pension fund contributions.
• Opportunities for continuous learning and professional development.
• Access to state-of-the-art technology and resources.
• Collaborative and intellectually stimulating work environment at our Welkom, Free State, ZA office.
• Regular team events and professional networking opportunities.
• Paid time off for vacation and personal development.