Senior AI Data Scientist - Predictive Modeling

Placements24; Willows (CA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Placements24 is seeking a Senior AI Data Scientist to lead predictive modeling and advanced analytics initiatives. You will develop, train, and deploy sophisticated machine learning models using large datasets to drive strategic decisions.

The role requires expertise in statistical modeling, ML algorithms, and data manipulation, with responsibilities spanning the full data science lifecycle from data acquisition to model deployment and monitoring.

Qualifications

• Master's or PhD in a quantitative field.
• 5+ years of experience building and deploying predictive models.
• Proficiency in Python or R and common data science libraries.
• Strong knowledge of ML algorithms and time series analysis.
• Experience with SQL and big data technologies is a plus.
• Excellent communication and problem-solving skills.

Responsibilities

• Develop, train, and deploy ML models for predictive tasks.
• Perform exploratory data analysis to identify trends and anomalies.
• Clean, preprocess, and transform large, complex datasets from various sources.
• Engineer features to improve model performance.
• Collaborate with stakeholders to translate business needs into data science problems.
• Communicate insights via visualizations and reports.
• Mentor junior data scientists and stay updated with advancements.
• Stay current with latest data science techniques.

Skills

Python

R

Machine learning

Statistical modeling

Data visualization

SQL

Big data (Spark/Hadoop)

Team leadership

Education

Master's or Ph.D. in a quantitative field

Tools

pandas

NumPy

scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client is a rapidly expanding data-driven organization seeking a talented Senior AI Data Scientist to lead initiatives in predictive modeling and advanced analytics. You will leverage vast datasets to develop sophisticated machine learning models that drive strategic business decisions. This role requires a deep understanding of statistical modeling, machine learning algorithms, and data manipulation techniques. You will be responsible for the entire data science lifecycle, from data acquisition and exploration to model deployment and performance monitoring. The position is based in our Welkom, Free State office, offering a collaborative environment with a focus on innovation. We are looking for individuals passionate about uncovering insights and creating impactful predictive solutions.

Key Responsibilities

• Develop, train, and deploy advanced machine learning models for predictive tasks (e.g., forecasting, customer churn, fraud detection).
• Perform in-depth exploratory data analysis to identify trends, patterns, and anomalies.
• Clean, preprocess, and transform large, complex datasets from various sources.
• Select and engineer relevant features to improve model performance.
• Evaluate model performance using appropriate metrics and iterate on models for optimization.
• Collaborate with business stakeholders to understand their needs and translate them into data science problems.
• Communicate findings and model insights effectively through visualizations and reports.
• Mentor junior data scientists and contribute to the team's technical expertise.
• Stay current with the latest advancements in data science, machine learning, and statistical modeling.

Requirements

• Master's or Ph.D. degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 5+ years of experience as a Data Scientist, with a proven track record in building and deploying predictive models.
• Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of various machine learning algorithms (e.g., regression, classification, clustering, time series analysis, deep learning).
• Experience with SQL and database technologies.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.

Benefits

• Our client offers a competitive salary, performance-based incentives, a comprehensive health insurance plan, and a generous retirement fund.
• You will have the opportunity to work with cutting-edge technologies and large datasets, with ample scope for professional growth and learning.
• The company promotes a healthy work-life balance and provides support for further education and conference attendance.
• Join a forward-thinking team dedicated to harnessing the power of data.