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Marketing Data Scientist II, Tech

0 years

0 Lacs

Bengaluru Karnataka India

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

marketing data crm analytics drive strategies management engineering measurement optimization design metrics engagement technology ml statistics learning research analysis assessment communication sql python numpy hadoop spark visualization tableau looker development inference

Work Mode

On-site

Job Type

Full Time

Job Description

About The Role

We are looking for an exceptional data scientist to be a part of the CRM platform data science team. As a Data Scientist in this role, you will be responsible for leveraging data-driven insights and advanced analytics techniques to drive marketing strategies and optimize our product offerings. You will collaborate with cross-functional teams, including applied and data science, marketing, product management, and engineering, to develop data-driven solutions that enhance customer experiences and maximize business outcomes.

What The Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----
  • Collaborate with measurement and optimization teams to design experiments and share readouts.
  • Develop metrics and dashboards to monitor product performance, customer engagement, and conversion rates, and provide insights for continuous improvement.
  • Collaborate with product management teams to prioritize product roadmap initiatives based on data-driven insights and market demand.
  • Partner with internal stakeholders including Operations, Product and the Marketing Technology team to develop marketing strategies and budget decisions based on data insights
  • Collaborate with marketing applied scientists on ML centered initiatives for comms and growth platform

Basic Qualifications

  • M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
  • Knowledge of underlying mathematical foundations of statistics, optimization, economics, and analytics. Knowledge of experimental design and analysis.
  • Strong experience in data analysis, statistical modeling, and machine learning techniques, with a proven track record of solving complex business problems
  • Meticulous attention to detail and rigorous data quality assessment to drive accurate and reliable insights
  • Excellent communication skills and stakeholder management
  • Advanced SQL expertise with a strong focus on time and space optimization
  • Proficiency in Python, and experience working with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
  • Demonstrated experience working with big data frameworks (e.g. Hadoop, Spark) and prior experience in building long running / stable data pipelines
  • Solid understanding of data visualization principles and experience with visualization tools (e.g., Tableau, Looker) to effectively communicate insights.
  • Excellent judgment, critical-thinking, and decision-making skills

Preferred Qualifications

  • Prior experience in analysis of product usage patterns, root-cause determination, and customer feedback to identify opportunities for product enhancements & new feature development.
  • Work experience in applying advanced analytics, applied science, or causal inference to marketing problems.
  • Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations.

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