Senior Data Scientist (Big Data Analytics)

Placements24; Willows (CA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Bonus eligibility

Medical insurance

Retirement plan

Paid time off

Job summary

Placements24 is seeking a Senior Data Scientist for a fast-growing analytics firm in California. The role focuses on extracting insights from large-scale data, building predictive models, and applying statistical methods to solve business problems for diverse stakeholders.

Responsibilities include data cleaning, feature engineering, A/B testing, model deployment with engineering teams, mentoring juniors, and communicating results with clear visualizations.

Qualifications

• Master's or Ph.D. in Statistics, Mathematics, CS, Economics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist or in a similar analytical role.
• Proficiency in Python and R with data libraries; strong SQL skills.

Responsibilities

• Develop and implement advanced statistical and ML models for business challenges.
• Perform data cleaning, feature engineering, and exploration on large datasets.
• Design and runs A/B tests and experiments to assess model impact and business value.
• Build predictive and prescriptive models for customer segmentation, churn, forecasting and anomaly detection.
• Communicate results clearly to technical and non-technical stakeholders with visuals.

Skills

Advanced statistics

ML modeling

Data visualization

Communication

Education

Master's or PhD in a quantitative field

Tools

Python

R

SQL

Spark

Hadoop

Tableau

Job description

About the Role

Our client, a rapidly expanding analytics firm based in Welkom , Free State , is seeking a highly skilled Senior Data Scientist to drive impactful insights from large-scale datasets. This role is critical for leveraging advanced analytical techniques, machine learning, and statistical modeling to solve complex business problems. You will work with diverse data sources, build predictive models, and translate findings into actionable recommendations for stakeholders. The ideal candidate possesses a strong quantitative background, deep expertise in data mining and machine learning, and excellent communication skills. This is an exciting opportunity to make a significant contribution to a forward-thinking company in the heart of the Free State , influencing strategic decisions through data-driven insights.

Key Responsibilities

• Develop and implement sophisticated statistical and machine learning models to address business challenges.


• Perform data exploration, cleaning, and feature engineering on large, complex datasets from various sources.


• Design and execute A/B tests and other experiments to evaluate model performance and business impact.


• Build predictive and prescriptive models for areas such as customer segmentation, churn prediction, forecasting, and anomaly detection.


• Communicate complex analytical findings and recommendations clearly and concisely to technical and non-technical audiences through visualizations and presentations.


• Collaborate with engineering teams to deploy models into production environments.


• Mentor junior data scientists and contribute to the team's technical growth and best practices.


• Stay abreast of the latest advancements in data science, machine learning, and big data technologies.


• Identify opportunities for leveraging data to drive business growth and efficiency.


• Ensure data quality and integrity throughout the analysis process.

Requirements

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.


• Minimum of 5 years of experience as a Data Scientist or in a similar analytical role.


• Proficiency in programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and R.


• Strong experience with SQL for data extraction and manipulation.


• Demonstrated experience with big data technologies and platforms (e.g., Spark, Hadoop ecosystem).


• Expertise in various machine learning techniques, including regression, classification, clustering, and time-series analysis.


• Excellent data visualization skills (e.g., Matplotlib, Seaborn, Plotly, Tableau).


• Strong analytical and problem-solving abilities with meticulous attention to detail.


• Effective communication and interpersonal skills, with the ability to present complex results to diverse audiences.


• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Benefits

Our client offers a highly competitive salary package, reflecting your extensive experience and skills, along with performance-based bonuses. A comprehensive benefits package includes medical aid, retirement fund contributions, and paid time off. We encourage continuous learning and provide opportunities for professional development, including access to cutting-edge tools and training programs. Join our dynamic team in Welkom and contribute to transforming data into valuable business strategies in the Free State .