Senior Data Scientist

Placements24; United States; Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Professional development budget

Hybrid on-site/remote

Impactful projects

Job summary

Placements24 is seeking a Senior Data Scientist to join a highly analytical team. The role focuses on extracting insights from complex datasets, developing predictive models, and driving data-informed decisions across the organization.

You will work on challenging problems with advanced statistical techniques, contributing to a data-driven culture. The position offers hybrid on-site collaboration in Paarl with remote options, and opportunities for professional growth.

Qualifications

• PhD or Master's degree in a quantitative field such as Statistics, Computer Science, Mathematics, or a related discipline.
• 5+ years of professional experience in data science with emphasis on statistical modeling and machine learning.
• Proficiency in Python or R and data manipulation libraries (Pandas, NumPy).
• Expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn) and SQL. Experience with Spark/Hadoop and cloud platforms is a plus.

Responsibilities

• Develop and implement advanced statistical models and ML algorithms to solve business problems.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Design and conduct A/B tests and experiments to validate hypotheses and measure impact.
• Build and deploy predictive models into production environments.
• Collaborate with product, engineering, and marketing to integrate data insights into strategies.
• Communicate complex findings clearly to technical and non-technical audiences.

Skills

Python

R

Pandas

NumPy

TensorFlow

PyTorch

Scikit-learn

SQL

Spark

Hadoop

Cloud platforms

Education

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

Job description

About the Role

Our client is seeking a highly analytical and experienced Senior Data Scientist to join their innovative team in Paarl . In this role, you will be responsible for extracting valuable insights from complex datasets, developing predictive models, and driving data-informed decision-making across the organization. You will work on challenging problems, leveraging advanced statistical techniques and machine learning algorithms. This hybrid role offers the chance to work on-site with colleagues and remotely, contributing to a data-driven culture of continuous learning and innovation.

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms to solve business problems.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Design and conduct A/B tests and other experiments to validate hypotheses and measure impact.
• Build and deploy predictive models into production environments.
• Collaborate with cross-functional teams, including product, engineering, and marketing, to integrate data insights into strategies.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.

Requirements

• Ph.D. or Master's degree in a quantitative field such as Statistics, Computer Science, Mathematics, or a related discipline.
• 5+ years of professional experience in data science, with a strong focus on statistical modeling and machine learning.
• Proficiency in programming languages like Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and SQL.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms is a plus.
• Excellent analytical, problem-solving, and communication skills, adaptable to a hybrid work setting.

Benefits

• Competitive annual salary and performance-based incentives.
• Comprehensive health, dental, and vision benefits.
• Generous budget for professional development, attending conferences, and further education.
• Hybrid work model offering flexibility between on-site collaboration in Paarl and remote work.
• Opportunity to work on impactful projects and contribute to cutting-edge data science initiatives.