
Data Scientist - Online Ads / Bidding Marketplaces
G2
Posted 2026-06-05
Tech & Engg
Job Description
Ovii's Interpretation of the Role
We are seeking a Data Scientist to design and deploy data‑driven solutions for our online ads and bidding marketplace. The role focuses on building forecasting models, recommendation engines, and algorithms that improve vendor experiences and marketplace performance.
Role Snapshot
- Design and simulate auction/bidding models
- Develop and maintain data products in R/Python
- Apply supervised and unsupervised ML techniques
- Create data pipelines for vendor‑facing experiences
- Collaborate with Engineering, Product, and Client Support
Must-Have Requirements
- R or Python development
- Machine learning and statistical algorithms
- Experience with bidding marketplaces and auction dynamics
- Data‑product development, deployment, and maintenance
- Cloud data warehouses (SQL Server, Snowflake, BigQuery)
- Streaming platforms (Kafka, Flink)
- experience with bidding marketplaces and auction dynamics
- experience developing data products in R or Python
- Bachelor's degree in a quantitative field (e.g., math, data science, economics)
- Master's degree or PhD with 2-4 years relevant experience
Nice-to-Have Signals
- Experience with consumer or business‑facing digital brands
- Unix/Linux environment familiarity
- Version control (Git or SVN)
- Prefect or AWS SageMaker
- experience with consumer or business‑facing digital brands
- experience with Unix/Linux and version control
- experience with Prefect or AWS SageMaker
Work Setup
- Location: Bengaluru, India
- Work mode: ONSITE
- Remote scope: UNSPECIFIED
- Employment type: Full-Time
Eligibility Gates
- Visa sponsorship: unknown
Not Specified in JD
- Salary range
- Visa sponsorship
- Remote eligibility
- Travel requirement
- Security clearance
- Coding test
What You'll Likely Work On
- Design models and run simulations to predict auction dynamics
- Identify predictive‑model opportunities to enhance vendor experience
- Employ ML techniques for anomaly detection, trend prediction, and content popularity
- Build data‑processing workflows and deliver data‑driven vendor experiences
- Fine‑tune models using advanced statistical methods
- Partner with client support to provide actionable insights
- Collaborate with Engineering and Product Management to execute the data‑science roadmap
Good Fit If You Have
- Curious, analytical mindset with a drive to dive deep into complex problems
- Strong interpersonal skills for cross‑functional collaboration
- Resourceful and resilient, taking creative approaches to problem solving
Skills
- R / Python programming
- Machine learning (Regression, Clustering, Linear Optimization)
- Advanced statistical modeling
- SQL Server, Snowflake, BigQuery
- Kafka & Flink streaming
- Git / SVN version control (preferred)
- Unix/Linux environments (preferred)
- Prefect or AWS SageMaker orchestration (preferred)
- Digital brand experience (preferred)