Senior Data Scientist (Machine Learning Focus)

Placements24; United States; Hybrid; USD 61,000 - 91,000; Full time

Benefits offered by this job

Hybrid work in Welkom

Professional development budget

Advanced computing resources

Collaborative team culture

Job summary

Placements24 is seeking a Senior Data Scientist for an analytics client in Welkom, Free State. The role covers end-to-end ML projects from data exploration to deployment in a hybrid work setting.

You will build predictive models, perform EDA and feature engineering, and collaborate with stakeholders. Requires an advanced degree and ML focus, with strong Python or R and SQL skills; cloud familiarity is a plus.

Qualifications

• Advanced degree in CS, statistics, math or related field.
• Proven Data Scientist with focus on ML.
• Strong Python or R skills and SQL experience.
• Familiarity with cloud platforms desirable.
• Hybrid work model expected.

Responsibilities

• Develop, train, and deploy ML models for varied applications.
• Conduct EDA and feature engineering to derive insights.
• Prepare data and ensure scalable data pipelines.
• Evaluate models with appropriate metrics and improve performance.
• Collaborate with stakeholders and communicate results clearly.
• Mentor junior data scientists and stay updated on ML research.

Skills

Data science

Communication

Problem solving

Education

Master's or PhD in quantitative field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

SQL

Job description

About the Role

Our client, a forward-thinking analytics firm located in Welkom , Free State, is seeking an exceptional Senior Data Scientist with a strong specialization in Machine Learning. This role is crucial for driving data-informed decision-making and developing predictive models that provide a competitive edge. You will be responsible for the entire lifecycle of machine learning projects, from data exploration and feature engineering to model development, deployment, and monitoring. The ideal candidate is a curious and analytical individual with a proven track record of applying advanced statistical and machine learning techniques to solve complex business problems. This position offers the chance to work with large datasets and cutting-edge technologies in a hybrid work environment that balances office collaboration with remote flexibility.

Key Responsibilities

• Develop, train, and deploy sophisticated machine learning models for various applications, including prediction, classification, and clustering.
• Conduct in-depth data analysis, exploratory data analysis (EDA), and feature engineering to identify patterns and insights.
• Clean, transform, and prepare large, complex datasets for modeling.
• Evaluate model performance using appropriate metrics and implement strategies for improvement.
• Collaborate with business stakeholders to understand requirements and translate them into data science solutions.
• Communicate complex findings and model results clearly to both technical and non-technical audiences.
• Stay current with the latest research and advancements in machine learning and data science.
• Design and implement A/B tests and other experiments to measure the impact of models.
• Ensure the ethical and responsible use of data and AI.
• Mentor junior data scientists and contribute to the team's knowledge base.

Requirements

• Advanced degree (Master's or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
• Proven experience as a Data Scientist, with a significant focus on machine learning.
• Strong proficiency in programming languages like Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Experience with data manipulation and SQL for querying databases.
• Solid understanding of statistical modeling, algorithms, and machine learning techniques.
• Experience 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 technical concepts.
• Familiarity with cloud platforms (AWS, Azure, GCP) for data science workloads is desirable.
• Ability to work effectively in a hybrid work model, balancing on-site and remote collaboration.

Benefits

• Highly attractive salary package commensurate with experience and qualifications.
• Opportunity to work on challenging and impactful data science projects.
• A hybrid work environment in Welkom , offering flexibility and collaboration.
• Access to advanced computing resources and tools.
• Generous professional development budget for conferences and training.
• Collaborative team culture focused on innovation and learning.
• Contribution to cutting-edge data-driven solutions.