Remote Senior Data Scientist

Placements24; Willows (CA); À distance; USD 140 000 - 210 000; Plein temps

Avantages offerts par ce poste

Flexible hours

Fully remote work

Health insurance

Professional development budget

Challenging projects with business to-

Résumé du poste

Placements24 is seeking a Remote Senior Data Scientist to lead advanced analytics initiatives and drive data-informed decisions across the organization. The role involves designing and deploying machine learning models, conducting analyses, and delivering actionable insights that influence strategy and product development.

You will mentor junior data scientists, collaborate with engineering and product teams, and stay at the forefront of ML/AI advancements while enjoying a fully remote role with

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience as a Data Scientist with a portfolio of ML projects.
• Proficiency in Python or R and libraries like TensorFlow, PyTorch, scikit-learn.
• Experience with Spark, Hadoop and SQL.
• Strong statistical modeling, experimental design and A/B testing skills.
• Excellent problem-solving and data-driven mindset.

Responsabilités

• Design, develop, and deploy ML models and algorithms to solve business problems.
• Conduct exploratory data analysis, identify patterns, and generate actionable insights from large datasets.
• Collaborate with engineering and product teams to productionize data science solutions.
• Communicate complex findings clearly to technical and non-technical stakeholders with visualizations and reports.
• Stay updated on data science, ML, and AI advancements.
• Mentor junior data scientists and contribute to team growth.

Connaissances

Python

R

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

SQL

A/B testing

Formation

Master's or PhD in CS/Stats/Math

Description du poste

About the Role

Our client is looking for an exceptional Remote Senior Data Scientist to lead advanced analytics initiatives and drive data-informed decision-making across the organization. This fully remote position offers the opportunity to work from anywhere, leveraging cutting-edge techniques to extract valuable insights from complex datasets. You will be responsible for designing and implementing machine learning models, statistical analyses, and data visualization tools that directly impact business strategy and product development, contributing to a forward-thinking, data-centric culture.

Key Responsibilities

• Design, develop, and deploy sophisticated machine learning models and algorithms to solve business problems.
• Conduct exploratory data analysis, identify patterns, and generate actionable insights from large, diverse datasets.
• Collaborate with engineering and product teams to integrate data science solutions into production systems.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders through compelling visualizations and reports.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's technical growth and best practices.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience (5+ years) as a Data Scientist, with a strong portfolio of successful machine learning projects.
• Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Strong statistical modeling, experimental design, and A/B testing skills.
• Excellent problem-solving abilities and a passion for uncovering data-driven solutions.

Benefits

• Highly competitive salary and performance-based bonuses.
• Fully remote work environment with flexible hours.
• Comprehensive health, dental, and vision insurance plans.
• Generous professional development budget for conferences and courses.
• Opportunity to work on challenging projects with significant business impact.