Senior Data Scientist
Role details
Job location
Tech stack
Job description
- 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.
Requirements
- 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:
o Predictive Analytics
o Data Design
o Statistics
o AI/ML
o ML Ops
- 2+ years of experience supporting Operations Research Modeling & Optimization
o Tools Experience: Gurobi preferred, or other solver like CPLEX
o Defining, developing, refining, and delivering network optimization models for large enterprises. Key areas of experience needed:
? Optimization formulation: Need to be able to talk this language well
? Ops research
? Programming skills
o Domains they will work in could be Resource Allocation, Scheduling, Cost Optimization or Vehicle Routine (among others), Network Modeling (over time), and Strategic Planning (factoring for opening/closing a facility).
o Soft Skills: Ability to scrutinize a solution and give a report to a senior audience. Example: Doing a sensitivity model and presenting to stakeholders.
- 3+ years of experience using Python, R and/or C# to analyze disparate datasets.
- Ability to travel at least 25%.
Preferred Skills
- 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