Advanced Analytics Consultant

Overview

We are looking for a skilled data scientist to help solve complex business problems by designing and implementing advanced analytics solutions. You will work with diverse data sets to create models and insights that drive decision-making and add value for clients. This role involves collaboration, experimentation, and clear communication of results.

Key Responsibilities

• Understand business challenges and translate them into data science problems.
• Design innovative data science solutions using design-thinking principles.
• Select appropriate algorithms, technology stacks, and sample outputs to meet business needs.
• Prototype and test solutions to demonstrate their value.
• Independently or collaboratively execute data science projects following project management guidelines.
• Present findings to internal and client stakeholders using clear storytelling, visualizations, and actionable insights.
• Support the growth of data science capabilities through pilots, pre-sales pitches, product development, and practice initiatives.

Requirements

• Minimum of 3 years’ experience in advanced analytics, data science, regression, forecasting, or related fields.
• Bachelor’s degree in Engineering or Computer Science preferred.
• Proficiency in data science techniques including hypothesis testing, exploratory data analysis, regression, segmentation, classification, forecasting, advanced predictive modeling, machine learning algorithms, text analytics, and natural language processing.
• Experience in multiple analytics domains such as customer, marketing, web, retail/e-commerce, sales, operations, pricing, and competitive analytics.
• Ability to communicate statistical model results in clear business language.
• Domain knowledge in at least two of the following verticals: retail, cable, technology.
• Strong technical skills in Python and SQL.
• Willingness to work the EMEA shift (1 PM – 10 PM) and travel up to 10-15% of the time.
• Strong communication, problem-solving, and leadership skills, including team motivation, providing feedback, and managing career development of direct reports.

Nice to Have

• Experience with R, Tableau or PowerBI, SAS, Alteryx, cloud platforms, data engineering platforms, and DevOps tools.