Senior Data Scientist

Compunnel, Inc.; Plano (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

Compunnel, Inc. is looking for a Data Science Consultant who will lead remote projects focused on utilizing data science, AI, and machine learning to solve complex business challenges. You will be responsible for defining project scopes, developing innovative solutions, and ensuring client satisfaction. The ideal candidate will have extensive experience in data science consulting and be capable of leading a team while effectively communicating insights to clients and stakeholders. This role requires strong analytical skills, innovative thinking, and the ability to mentor junior staff.

Qualifications

• 7+ years of consulting experience in data science.
• 7+ years in Predictive Analytics, Data Design, Statistics, AI/ML.
• 2+ years in Operations Research Modeling & Optimization.

Responsibilities

• Lead data science projects to develop client-focused solutions.
• Define project scopes, objectives, and timelines.
• Communicate complex analyses and insights to non-technical audiences.

Skills

Data Science

Machine Learning

Artificial Intelligence

Predictive Analytics

Python

R

C#

Operations Research

Education

Master's degree preferred

Undergraduate degree preferred

Tools

Gurobi

CPLEX

Job description

JOB SUMMARY

This is a remote role for a Data Science Consultant. The ideal candidate will lead projects utilizing expertise in data science, artificial intelligence, and machine learning to develop innovative solutions for complex business problems, ensuring high client satisfaction. Responsibilities include defining project objectives, scope, and timelines, breaking down intricate business challenges, and devising effective solutions focused on client needs. The role requires innovative thinking, resourcefulness, and the use of best practices to address challenges and deliver impactful solutions, including conducting market research and communicating insights. Establishing strong client relationships, understanding project requirements, and communicating complex technical concepts to non-technical audiences are crucial. The role involves handling large and complex data sets, implementing model scoring, assembling data meeting business requirements, applying business acumen to data analysis, performing ad hoc analyses, and collaborating with data stakeholders to enhance data quality. Mentoring junior data scientists and conducting training sessions are also key aspects of this position.

Key Responsibilities

• Lead projects using expertise in data science, artificial intelligence, and machine learning to develop innovative solutions for complex business problems, ensuring high client satisfaction.
• Define objectives, scope, timelines, and ensure successful outcomes.
• Break down intricate business challenges, devise effective solutions, and focus on client needs.
• Develop innovative solutions for complex business problems, prioritizing high client satisfaction.
• Bring innovative thinking and resourcefulness to achieve successful client outcomes.
• Utilize best practices and creativity to address challenges and deliver impactful solutions.
• Conduct market research, formulate perspectives, and communicate insights to clients and stakeholders.
• Establish strong client relationships, gaining insights into project requirements and challenges.
• Interact at appropriate levels to ensure client satisfaction and project success.
• Communicate complex technical concepts clearly to non-technical audiences.
• Provide regular updates and comprehensive reports to clients on project progress.
• Handle data sets of varying complexity, processing massive data streams in distributed computing environments.
• Implement batch and real-time model scoring for effective decision-making.
• Assemble large, complex data sets meeting functional and non‑functional business requirements.
• Apply business acumen to analyze data, develop insightful reports, and solve problems.
• Perform ad hoc analyses based on evolving business needs.
• Participate in the analysis and resolution of issues related to information flow and data content.
• Collaborate with data stakeholders to address challenges and enhance data quality.
• Mentor junior data scientists, fostering professional growth within the team.
• Conduct training sessions to enhance overall data science skills within the organization.

Required Qualifications

• 7+ years of experience supporting data science projects in a consulting environment.
• 7+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Statistics, AI/ML, ML Ops.
• 2+ years of experience supporting Operations Research Modeling & Optimization including Gurobi or other solvers like CPLEX. This includes defining, developing, refining, and delivering network optimization models for large enterprises, with experience in optimization formulation, ops research, and programming skills. Domain experience in Resource Allocation, Scheduling, Cost Optimization, Vehicle Routine, Network Modeling, or Strategic Planning is required. Ability to scrutinize a solution and give a report to a senior audience, such as performing a sensitivity model and presenting to stakeholders, is essential.
• 3+ years of experience using Python, R and/or C# to analyze disparate datasets.
• Ability to travel at least 25%.

Preferred Qualifications

• Master’s degree preferred.
• Demonstrates sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.
• Exhibits strong teamwork, consistently performing as a dependable team member with an excellent work ethic.
• Maintains a flexible 'can-do' attitude and a commitment to success.
• Professional verbal and written communication.
• Undergraduate or Graduate degree preferred.