Senior Data Scientist

Compunnel, Inc.; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading consulting firm is seeking a Senior Data Scientist / ML Engineer with over 7 years of experience to leverage data-driven insights and develop sophisticated machine learning solutions. The role demands collaboration with stakeholders to tackle business challenges through strong expertise in statistics and data analysis. Ideal candidates will have robust experience in Python or R, proficiency in predictive analytics, and a solid understanding of data visualization techniques. The position emphasizes client satisfaction while addressing complex datasets.

Qualifications

• 7+ years of experience supporting data science projects in a consulting environment.
• Strong understanding of statistics, machine learning, and data visualization.
• Experience working with large and complex datasets.

Responsibilities

• Drive data insights to uncover business opportunities.
• Analyze complex datasets using machine learning techniques.
• Collaborate with stakeholders to develop analytical models.
• Implement batch and real-time model scoring solutions.
• Support resolution of data-related issues.

Skills

Statistics

Machine Learning

Data Analysis

Python

R

Data Visualization

Problem-solving

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or related field

Master's degree in a relevant field

Job description

We are seeking a Senior Data Scientist / ML Engineer with 7+ years of experience to drive data-driven insights and develop advanced machine learning solutions. This role involves working with complex datasets, building analytical models, and collaborating with stakeholders to address business challenges and uncover new opportunities.

The ideal candidate will have strong expertise in statistics, machine learning, and data analysis, along with experience delivering solutions in a consulting environment.

Key Responsibilities

• Drive data insights to uncover business opportunities and revenue streams
• Analyze complex datasets to identify trends and patterns using supervised and unsupervised machine learning techniques (e.g., regression, classification, clustering)
• Perform data wrangling and dynamic model tuning
• Collaborate with stakeholders to generate hypotheses and develop analytical models to solve business problems
• Work on projects involving data science, artificial intelligence, and machine learning
• Break down complex business problems and deliver solutions with a focus on client satisfaction
• Conduct market research and communicate insights effectively to stakeholders
• Work with structured and unstructured datasets of varying sizes and complexity
• Process and pipeline large-scale data streams in distributed computing environments
• Implement batch and real-time model scoring solutions
• Build and manage large datasets that meet business requirementsPerform ad hoc data analysis and reporting based on business needs
• Support resolution of data-related issues involving information flow and data quality
• Establish and maintain relationships with stakeholders and clients

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field, or equivalent practical experience
• 7+ years of experience supporting data science projects, preferably in a consulting environment
• Experience working on projects involving predictive analytics, data design, statistics, AI/ML, or MLOps
• 7+ years of experience using Python and/or R to analyze datasets
• Strong understanding of statistics, machine learning, and data visualization
• Experience working with large and complex datasets
• Strong analytical, problem-solving, and communication skills

Preferred Qualifications

• Master’s degree in a relevant field
• Experience with Generative AI / LLM development
• Ability to independently drive problem-solving and solution development
• Experience mentoring or overseeing junior developers or engineers
• Strong collaboration skills and a proactive approach to delivering results
• Excellent written and verbal communication skills