Lead Data Scientist

Placements24; United States; Remote; USD 150,000 - 240,000; Full time

Benefits offered by this job

Fully remote

Bonus potential

Job summary

Placements24 is seeking a Lead Data Scientist for a pioneering analytics firm near George (remote-first). You will define data science strategies, build sophisticated predictive models, and guide a team of data professionals to deliver actionable insights.

The role requires 7+ years in data science, expertise in ML, statistical modeling, Python or R, and experience with Spark/Hadoop and cloud platforms. You will translate complex findings for business stakeholders and drive data-informed

Qualifications

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 7+ years of experience in data science or machine learning with a proven track record of delivering impactful projects.
• Expertise in statistical modeling, machine learning algorithms, and deep learning frameworks.
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms.
• Strong leadership, communication, and problem-solving skills for a remote position.

Responsibilities

• Lead the design, development, and deployment of ML models and algorithms to address key business problems.
• Analyze large, complex datasets to identify trends, patterns, and insights that can drive business strategy.
• Collaborate with stakeholders to define project scope, methodologies, and success metrics.
• Mentor and guide junior data scientists, fostering a culture of learning and innovation.
• Stay abreast of the latest advancements in data science, ML, and AI, and explore their application.
• Communicate complex findings clearly to both technical and non-technical audiences.

Skills

Leadership

Python

R

Deep learning

Statistical modeling

Spark

Hadoop

Communication

Education

Master's or Ph.D. in Statistics/CS/Math

Tools

Spark

Hadoop

Cloud platforms (AWS/GCP)

Job description

About the Role

Our client, a pioneering analytics firm based near George , is seeking an exceptional Lead Data Scientist to spearhead their advanced analytics initiatives. You will be instrumental in defining and executing data science strategies, developing sophisticated predictive models, and driving data-informed decision-making across the organization. This role requires a blend of strong technical expertise, strategic thinking, and leadership capabilities to guide a team of talented data professionals. Join a company that is at the forefront of leveraging data to solve complex business challenges and deliver actionable insights in a remote-first setting.

Key Responsibilities

• Lead the design, development, and deployment of machine learning models and algorithms to address key business problems.
• Analyze large, complex datasets to identify trends, patterns, and insights that can drive business strategy.
• Collaborate with stakeholders to define project scope, methodologies, and success metrics.
• Mentor and guide junior data scientists, fostering a culture of learning and innovation.
• Stay abreast of the latest advancements in data science, machine learning, and AI, and explore their application.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.

Requirements

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 7+ years of experience in data science or machine learning, with a proven track record of delivering impactful projects.
• Expertise in statistical modeling, machine learning algorithms, and deep learning frameworks.
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms.
• Strong leadership, communication, and problem-solving skills are essential for this remote position.

Benefits

• Highly competitive salary and significant bonus potential.
• Comprehensive health, dental, and vision insurance coverage.
• Generous budget for professional development, including courses, conferences, and certifications.
• Flexible working hours and a fully remote work environment.
• Opportunity to work on challenging and impactful projects with a leading company in the analytics space.