Data Scientist-Machine Learning

Location

Bangalore | India

Job description

The role of Marketing Data Science today has evolved constantly because of rapid mar-tech

innovations and the emergence of disruptive technologies. We are looking for an experienced

Marketing Data Scientist who is not only well-versed in machine learning and statistical modeling,

but also familiar with mar-tech platforms and practices. As a Marketing Data Scientist here youd put

your talent to spot opportunities to apply latest technologies on real-word marketing problems. You

will be working with various marketing data platforms and databases, get deeply involve in data

cleaning and ETL building, use whatever modeling skills you have, be it time-series forecasting or

classification algorithms, to help solve marketing problems and finally bring your insight or solution to

the senior management within HP. We are looking for a self-starter who is passionate about coding,

data wrangling and sharing insight with others.

Responsibilities

• Understand marketing initiatives, challenges, questions and concerns and transforming them
• into data science solutions and metrics
• Develop models and analytical frameworks to quantitatively measure the impact, efficiency
• and effectiveness of marketing activities
• Develop and implement innovative machine learning techniques to answer key business
• questions from marketing team or senior management while identifying new areas to explore
• Present your recommendation to marketing colleagues and senior management
• Collaborate with internal or external members to bring in data source/platform/technique into
• the team

Requirements

• 3-7 years of experience in data analytics
• Experience with data cleaning and exploratory data analysis; High proficiency in SQL
• Expertise in at least one scripting language (Python or R) as well as scientific libraries like
• Numpy or Pandas
• Knowledge in statistical modeling: Regression / Classification / Clustering / Time Series
• Forecasting/Causal Inference and other techniques
• Experience working with popular machine learning frameworks like Scikit-learn, XGboost
• Experience developing sophisticated models and solving sophisticated quantitative problems
• that could be understood by non-technical colleagues
• Basic understanding and knowledge of digital marketing practices and KPIs on ecommerce ad platforms
• Desire to partner up with other data scientists, data analysts and key business partners
• Proficiency with advanced Excel and PowerPoint

Benefits

• Be a part of the dynamic and fun team, making an impact in the retail tech industry with clients like Lulu, Aster, GMG etc.
• Flexible Work Hours.
• Wellness Family Benefits.
• Access to various learning platforms.

Job tags

Salary