Senior Data Scientist - Predictive Analytics

Placements24; Willows (CA); On-site; USD 54,000 - 103,000; Full time

Benefits offered by this job

Competitive salary

Health, dental & vision insurance

Professional development budget

Conferences & workshops

Retirement savings plan

Team events

Job summary

Placements24 is seeking a Senior Data Scientist in Welkom, Free State, to develop and implement predictive analytics that drive business strategy, risk management, and customer insights.

You will lead projects, mentor junior data scientists, and collaborate with cross-functional teams to translate business questions into data science solutions.

Qualifications

• Master's degree or Ph.D. in a quantitative field such as Statistics, Mathematics, CS or Economics.
• Minimum 5 years in data science with emphasis on predictive modeling.
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow, PyTorch, statsmodels.

Responsibilities

• Design, develop, and deploy predictive models using ML and statistical methods.
• Analyze large datasets to identify trends and actionable insights.
• Collaborate with stakeholders to translate needs into data science problems.
• Build and maintain data pipelines for model training and deployment.
• Evaluate model performance and ensure robustness.

Skills

Python

R

scikit-learn

TensorFlow

PyTorch

Statistics

Machine learning

SQL

Data visualization

Spark

Education

Master's degree or PhD in a quantitative field

Tools

SQL

Spark

Tableau/Power BI

Job description

About the Role

Our client, a prominent financial services institution, is seeking a Senior Data Scientist with expertise in Predictive Analytics to join their advanced analytics division in Welkom, Free State. This role is crucial for developing and implementing sophisticated predictive models that drive business strategy, risk management, and customer insights. You will work with vast and complex datasets, applying advanced statistical techniques and machine learning algorithms to uncover actionable insights and forecast future trends. This is an exciting opportunity to make a significant impact within a leading organization, collaborating with cross-functional teams and shaping data-driven decision-making. We are looking for a candidate with a strong quantitative background, excellent problem-solving skills, and a passion for uncovering hidden patterns in data. The successful candidate will have the opportunity to lead projects, mentor junior data scientists, and contribute to the continuous innovation of our analytical capabilities. Based in Welkom, you will be part of a team dedicated to leveraging data science for competitive advantage.

Key Responsibilities

• Design, develop, and deploy advanced predictive models using machine learning and statistical techniques.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Collaborate with business stakeholders to understand their needs and translate them into data science problems.
• Build and maintain data pipelines for model training and deployment.
• Evaluate and validate model performance, ensuring accuracy, reliability, and robustness.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Stay up-to-date with the latest advancements in data science, machine learning, and statistical modeling.
• Mentor junior data scientists and contribute to the team's technical growth.
• Develop and implement A/B testing frameworks to measure the impact of predictive models.
• Contribute to the development of data governance and best practices within the organization.

Requirements

• Master's or Ph.D. degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 5 years of experience in data science or a related analytical role, with a focus on predictive modeling.
• Strong proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, statsmodels).
• Expertise in various machine learning algorithms, including regression, classification, clustering, time series analysis, and deep learning.
• Experience with SQL and database technologies for data extraction and manipulation.
• Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong communication and presentation skills, with the ability to articulate complex findings effectively.
• Experience working with large datasets and distributed computing frameworks (e.g., Spark) is a plus.
• Domain knowledge in financial services or risk management is desirable.

Benefits

• Competitive salary and annual performance bonus.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off and company holidays.
• Opportunities for continuous learning, including access to online courses and workshops.
• Professional development budget for conferences and certifications.
• A collaborative and dynamic work environment.
• Retirement savings plan with employer contributions.
• Employee assistance program.
• Regular team social events and activities.
• Access to advanced analytical tools and platforms.