Senior Data Scientist - Big Data Analytics

Placements24; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Stock options

Annual bonuses

Health benefits

Job summary

Placements24 is seeking a Senior Data Scientist to join a fully remote analytics team. You will leverage large datasets to build predictive models, conduct experiments, and translate complex insights into actionable business decisions.

The role requires 5+ years in data science, strong Python/R skills, and experience with Spark/Hadoop, scikit-learn, and visualization tools. You will mentor peers and shape data governance while contributing to strategic initiatives in a remote-first environment.

Qualifications

• Master's or Ph.D. in a quantitative field such as Statistics, Computer Science, Mathematics, Physics, or Economics.
• Minimum of 5 years of professional experience as a Data Scientist with big data analytics and ML.
• Proficiency in Python or R and libraries like scikit-learn, pandas, NumPy, TensorFlow, PyTorch.

Responsibilities

• Develop and implement advanced statistical models and ML algorithms for predictive analytics, classification, and clustering.
• Analyze large, complex datasets from various sources to identify trends and opportunities.
• Design and execute A/B tests and experiments to validate hypotheses and measure impact.
• Build and maintain scalable data pipelines for data processing and feature engineering.
• Collaborate with engineering and product teams to integrate DS solutions into production systems.
• Communicate findings clearly to technical and non-technical audiences through visualizations and presentations.
• Mentor junior data scientists and contribute to the team's growth.
• Stay updated on advancements in data science, ML, and big data technologies.
• Contribute to data governance policies and best practices.
• Drive innovation by exploring new analytical approaches and tools.

Skills

Statistical modeling

Machine learning

Data analysis

Communication

Mentoring

Problem solving

Remote collaboration

Education

Master's degree

PhD

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Spark

Job description

About the Role

Our client, a forward-thinking technology company, is seeking a highly skilled and experienced Senior Data Scientist to join their fully remote analytics team. This is a premier opportunity to leverage vast datasets, employing advanced statistical modeling and machine learning techniques to extract actionable insights and drive strategic business decisions. You will play a pivotal role in shaping our data strategy, building sophisticated predictive models, and communicating complex findings to stakeholders across the organization. We are looking for a visionary individual with a passion for data-driven innovation and a proven ability to tackle challenging analytical problems in a remote-first environment, contributing to projects originating from Paarl, Western Cape, ZA .

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms for predictive analytics, classification, and clustering.
• Analyze large, complex datasets from various sources to identify trends, patterns, and opportunities.
• Design and execute A/B tests and other experiments to validate hypotheses and measure impact.
• Build and maintain scalable data pipelines for data processing and feature engineering.
• Collaborate with engineering and product teams to integrate data science solutions into production systems.
• Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences through compelling visualizations and presentations.
• Mentor junior data scientists and contribute to the team's technical growth.
• Stay abreast of the latest advancements in data science, machine learning, and big data technologies.
• Contribute to the definition and refinement of data governance policies and best practices.
• Drive innovation by exploring new analytical approaches and tools.

Requirements

• Master's or Ph.D. degree in a quantitative field such as Statistics, Computer Science, Mathematics, Physics, or Economics.
• Minimum of 5 years of professional experience as a Data Scientist, with a strong focus on big data analytics and machine learning.
• Proficiency in statistical programming languages like Python or R, and experience with relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
• Extensive experience working with large datasets and distributed computing frameworks (e.g., Spark, Hadoop).
• Strong SQL skills and experience with various database technologies (relational and NoSQL).
• Demonstrated experience in building and deploying machine learning models in production environments.
• Excellent understanding of statistical modeling, experimental design, and causal inference.
• Strong data visualization skills and experience with tools like Matplotlib, Seaborn, Tableau, or Power BI.
• Exceptional problem-solving, analytical, and critical thinking abilities.
• Superior communication and interpersonal skills, essential for remote collaboration.

Benefits

Our client offers a highly competitive salary, comprehensive health benefits, and a generous retirement savings plan. As a fully remote position, we emphasize work-life balance and offer a flexible working schedule. Employees have access to continuous learning resources, opportunities for professional development, and attend leading industry conferences. Stock options and annual performance bonuses are part of the attractive compensation package. This role provides the unique opportunity to shape the future of data-driven insights from anywhere, contributing to a company culture that values innovation and expertise.