Associate Engineer (Data Science)

Affinity Global Inc.; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading AdTech company in Mumbai is seeking an experienced Data Science Engineer to work on AI/ML algorithms in Digital Advertising. This role involves designing algorithms, identifying data sources, and building predictive models. Candidates should have 3+ years of experience in Data Science, particularly in Digital Advertising, and a strong background in machine learning. A Bachelor's or Master's degree in a related field is required. Competitive compensation and opportunities for continuous learning are offered.

Qualifications

• 3+ years of proven experience as a Data Scientist.
• Experience in Data Science techniques in Digital Advertising.
• Extensive knowledge in machine learning and statistics.

Responsibilities

• Design and develop AI/ML algorithms for various ad tasks.
• Identify valuable data sources and automate data processes.
• Collaborate with teams to integrate algorithms seamlessly.

Skills

Machine learning

Data modelling

Data mining

Programming with Python

Statistical analysis

Use of TensorFlow

Education

Bachelor's or Master's degree in related fields

Tools

TensorFlow

PyTorch

scikit-learn

R

SQL

Apache Spark

Job description

About Affinity

Affinity is pioneering new frontiers in AdTech: developing solutions that push past today’s limits and open up new opportunities. We are a global AdTech company helping publishers discover better ways to monetize and enabling advertisers to reach the right audiences through new touchpoints. Operating across 10+ markets in Asia, the US, and Europe with a team of over 450 experts, we are building privacy-first ad infrastructure that opens up opportunities beyond the walled gardens.

Role: Data Science Engineer

Work Location: Mumbai (Malad)

About Role

We are seeking an experienced Data Science Engineer to join our VEVE business unit and work on AI/ML algorithms for various ad decisioning, bid auctioning, ad creative optimization, forecasting, and data classification needs in the field of Digital Advertising. In this role, you will be responsible for managing data, developing and implementing modelling techniques, and communicating insights to stakeholders.

Roles & Responsibility

• Design and develop AI/ML algorithms for ad decisioning, bid auctioning, ad creative optimization, forecasting, and data classification in Digital Advertising.
• Identify valuable data sources and automate data engineering and ETL processes from ad serving events.
• Develop strategies for data preparation, including structured and unstructured data.
• Perform feature engineering and analyse large amounts of data from ad serving event logs to identify trends, patterns, and anomalies in bidding and ad decisioning.
• Ensure data privacy and security while conducting data analysis and modelling.
• Conduct experiments to validate hypotheses and test new algorithms.
• Build Minimum Viable Products (MVPs) using a proof-of-concept approach, focusing on scalability, speed, and accuracy.
• Build and maintain predictive models, dashboards, and automated reports to monitor performance and support decision-making.
• Collaborate with cross-functional teams, such as product, engineering, and sales, to ensure seamless integration of algorithms with other systems and processes.
• Stay up to date with the latest industry developments, advancements, and technologies in prediction and classification.
• Understanding and implementing diverse strategic ML/AI algos as per industry best practises and creating high impact, high value training models.
• Communicate results and recommendations to stakeholders, including non-technical audiences, using data visualization techniques.

Required Skills

• 3+ years of proven experience as a Data Scientist.
• Experience applying Data Science techniques in the field of Digital Advertising is a must.
• Extensive knowledge and practical experience in machine learning, neural networks, and statistics, with a focus on data modelling, engineering and mining.
• Understanding of machine learning and operations research, along with experience using machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost, etc.) and real-time data processing.
• Understanding latest advancements announced via industry research communities and research papers.
• Proficiency in programming languages like R, Julia, Python, SQL, or Apache Spark.
• Excellent analytical and problem-solving aptitude, critical thinking skills, strong mathematical abilities (statistics, algebra), and effective communication and presentation skills.
• Experience using Business Intelligence Tools and Distributed cloud data frameworks.
• Curiosity and a strong desire for continuous learning.
• Bachelor's or Master's degree (or equivalent) in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Operations Research, or a related field.