Senior Data Scientist

Placements24; Willows (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Placements24 is seeking a Senior Data Scientist to join its analytics team in a hybrid model within a prominent financial services institution. The role focuses on developing advanced models and ML solutions to extract insights from large datasets and drive strategic decisions.

You will mentor junior data scientists, collaborate with data engineers, and communicate complex findings to both technical and non-technical audiences, leveraging modern visualization tools.

Qualifications

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or related quantitative field.
• Minimum of 5+ years of experience in data science with focus on statistical modeling and machine learning.
• Proficiency in Python or R.
• Experience with Pandas, NumPy, Scikit-learn.
• Strong knowledge of SQL and relational databases.
• Familiarity with Spark or Hadoop is a plus.
• Experience with data visualization tools like Tableau or Power BI.
• Excellent problem-solving and communication skills.
• Proven ability to work independently and in a team in a hybrid environment.

Responsibilities

• Design, develop, and implement advanced statistical models and ML algorithms to address business needs.
• Extract, clean, and transform large, complex datasets from various sources.
• Conduct exploratory data analysis to identify trends and insights.
• Develop predictive models for forecasting, classification, and clustering.
• Evaluate and refine model performance for accuracy and reliability.
• Communicate findings clearly to stakeholders via reports and presentations.
• Collaborate with data engineers and analysts to deploy data solutions.
• Stay updated on data science advancements and mentor junior data scientists.
• Develop data visualizations to effectively communicate findings.

Skills

Statistical modeling

Machine learning

Python

R

SQL

Data visualization

Communication

Mentoring

Problem solving

Education

Master's or PhD in a quantitative field

Tools

Pandas

NumPy

Scikit-learn

Spark

Hadoop

Tableau

Power BI

Job description

About the Role

Our client, a prominent financial services institution, is seeking an experienced Senior Data Scientist to join their innovative analytics team in Welkom, Free State . This role is critical in extracting valuable insights from complex datasets to drive strategic business decisions. You will be responsible for developing advanced statistical models, machine learning algorithms, and data mining techniques to solve challenging business problems. The ideal candidate possesses a strong analytical mindset, a deep understanding of statistical modeling and programming, and a proven ability to communicate complex findings to both technical and non-technical audiences. This position offers an exciting opportunity to work with large-scale data and make a significant impact on the company's future.

Key Responsibilities

• Design, develop, and implement advanced statistical models and machine learning algorithms to address business needs.
• Extract, clean, and transform large, complex datasets from various sources.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Develop predictive models for forecasting, classification, and clustering.
• Evaluate and refine model performance, ensuring accuracy and reliability.
• Communicate findings and recommendations clearly and concisely to stakeholders through reports and presentations.
• Collaborate with data engineers and business analysts to integrate data solutions into production systems.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's knowledge sharing.
• Develop data visualizations to effectively communicate complex findings.

Requirements

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 5+ years of experience in data science, with a strong focus on statistical modeling and machine learning.
• Proficiency in programming languages commonly used in data science, such as Python or R.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
• Strong knowledge of SQL and experience working with relational databases.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Proven ability to work independently and as part of a team in a hybrid work environment.

Benefits

Our client offers a competitive salary, comprehensive benefits package including medical aid and a retirement fund, and opportunities for continuous professional development. You will have access to state-of-the-art technology and work on high-impact projects within the financial sector in Welkom, Free State . The hybrid work model allows for a blend of focused remote work and collaborative in-office sessions. Join a team that fosters innovation and values data-driven insights.