Data Science Consultant /Lead ll Chicago , IL (Onsite) - Need Local ll 8+yrs
Apply NowCompany: GATE Insight, Inc.
Location: Chicago, IL 60629
Description:
Position : Data Science Consultant ll 8+Yrs
Location : Chicago , IL (Onsite) - Need Local
Duration : 1 Year
The Data Science Consultant bridges the gap between data science and business needs, translating complex data insights into actionable strategies. This role requires strong analytical problem-solving, business engagement, and communication skills to drive decision-making.
Qualifications:
Bachelor's Degree in Data Science, Business Analytics, Economics, or related field.
Preferred: MBA or Master's Degree in Data Science, Analytics, or a quantitative discipline.
Experience:
6-8+ years of experience in data science, analytics, or business consulting.
Proven experience interacting with business stakeholders and driving data-driven projects.
Experience in QSR, retail, or consumer-facing industries is a plus.
Key Skills:
Strategic Business Engagement:
Experience collaborating with marketing, operations, and supply chain teams to identify data-driven opportunities.
Translating business needs into actionable analytics projects.
Customer Analytics:
Experience analyzing customer lifetime value (CLV), churn prediction, and loyalty program performance.
Expertise in understanding dine-in, delivery, and digital ordering patterns.
Menu & Pricing Optimization:
Experience developing models for dynamic pricing, menu performance analysis, and cross-selling opportunities.
Marketing Effectiveness:
Experience evaluating promotional campaigns and marketing ROI.
Analyzing customer feedback and sentiment to improve customer satisfaction.
Strong Communication & Storytelling:
Exceptional communication skills to convey technical insights in a clear, business-friendly manner.
Expertise in data storytelling to influence decision-making processes.
Analytical Problem-Solving:
Advanced problem-solving skills to develop data-driven solutions. Proficiency in statistical analysis, predictive modeling, and optimization techniques.
Ability to think critically and provide innovative solutions to business challenges.
Technical Proficiency:
Proficiency in Python/R for data analysis and modeling.
SQL skills for data querying and manipulation. Familiarity with visualization tools like Tableau, Power BI, or similar.
Leadership & Collaboration:
Ability to lead cross-functional teams and mentor junior data scientists.
Strong collaboration with data engineers, ML architects, and business units.
Location : Chicago , IL (Onsite) - Need Local
Duration : 1 Year
The Data Science Consultant bridges the gap between data science and business needs, translating complex data insights into actionable strategies. This role requires strong analytical problem-solving, business engagement, and communication skills to drive decision-making.
Qualifications:
Bachelor's Degree in Data Science, Business Analytics, Economics, or related field.
Preferred: MBA or Master's Degree in Data Science, Analytics, or a quantitative discipline.
Experience:
6-8+ years of experience in data science, analytics, or business consulting.
Proven experience interacting with business stakeholders and driving data-driven projects.
Experience in QSR, retail, or consumer-facing industries is a plus.
Key Skills:
Strategic Business Engagement:
Experience collaborating with marketing, operations, and supply chain teams to identify data-driven opportunities.
Translating business needs into actionable analytics projects.
Customer Analytics:
Experience analyzing customer lifetime value (CLV), churn prediction, and loyalty program performance.
Expertise in understanding dine-in, delivery, and digital ordering patterns.
Menu & Pricing Optimization:
Experience developing models for dynamic pricing, menu performance analysis, and cross-selling opportunities.
Marketing Effectiveness:
Experience evaluating promotional campaigns and marketing ROI.
Analyzing customer feedback and sentiment to improve customer satisfaction.
Strong Communication & Storytelling:
Exceptional communication skills to convey technical insights in a clear, business-friendly manner.
Expertise in data storytelling to influence decision-making processes.
Analytical Problem-Solving:
Advanced problem-solving skills to develop data-driven solutions. Proficiency in statistical analysis, predictive modeling, and optimization techniques.
Ability to think critically and provide innovative solutions to business challenges.
Technical Proficiency:
Proficiency in Python/R for data analysis and modeling.
SQL skills for data querying and manipulation. Familiarity with visualization tools like Tableau, Power BI, or similar.
Leadership & Collaboration:
Ability to lead cross-functional teams and mentor junior data scientists.
Strong collaboration with data engineers, ML architects, and business units.