Data Science Practitioner

About the Role

Key Responsibilities

• Train, test, deploy, and continually improve ML/AI models for tasks such as audience segmentation, marketing engagement level evaluation, and prioritization of sales engagement with accounts.
• Collaborate with cross-functional teams to integrate machine learning insights into marketing strategies.
• Work closely with cross-functional stakeholders on data science projects to optimize demand funnel outcomes.
• Provide data-driven insights to enhance the effectiveness of marketing and sales initiatives.
• Build predictive analytics models to identify and refine customer segments based on behavior, preferences, and engagement patterns.
• Collaborate with marketing teams to tailor strategies for targeted audience segments, optimizing conversion rates.

Requirements

• Advanced degree in Data Science, Computer Science, Statistics, or a related field.
• 6+ years of relevant Data Science experience.
• 2+ years of experience analyzing marketing funnel performance.
• 2+ years of experience running experiments and conducting A/B testing.
• Proficiency in Data Modeling, Experimental Design/Analysis, Marketing and/or Business Analytics.
• Experience with programming languages and Data Science scripting (in Python / R / Scala / Julia).
• 2+ years of experience with Cloud Technologies.
• Experience in implementing ethical practices into data science.
• Minimum required education: High School Diploma.

Benefits & Perks

• Health and Life Insurance
• Accenture days, 3 additional vacation days
• On site doctor
• Birthday leave
• Internet reimbursement