Senior Data Scientist

About the Role

In this role you will work closely with product, engineering and sales

teams to drive the use of Data Science across the Verve Group,

collaborate with our audience-focused Data Science team and with

the Machine Learning Engineers to engineer prototypes into solutions.

What You Will Do

DOMAIN

In this role your main focus would be on our Ad-Exchange

Optimization projects

• Win Price Prediction in various auctions setups - 1st price, 2nd

price, Waterfall

• Supply forecasting Modeling time dependent supply

availability

• Demand forecasting — Modeling time dependent demand

interest

• Inventory valuation — Assessing true value of inventory in open

market

• Traffic Shaping — Time dependent supply and demand matching

Research and Development

Our Data Science role includes the following responsibilities:

• Research and development of cutting edge Machine Learning

systems, models, and schemes in many different areas of

Adtech

• Develop real-time algorithms for campaign and bidding

optimization

• Discover insights/patterns in exchange data
• Design experiments, oversee A/B testing, evaluate the quality of

derived assets and continuously monitor model performance

• Create proof of concepts and data science prototypes
• Search and select appropriate data sets
• Perform statistical analysis and use results to improve models
• Identify differences in data distribution that could affect model

performance in real-world situations

• Visualize data for deeper insights
• Analyze the use cases of ML algorithms and ranking them by

their success probability

• Understanding when your findings can be applied to business

decisions

• Reducing business problems into optimization problems
• Verifying data quality

Job requirements

What You Will Bring

• 5+ years experience working as a Data Scientist in industry

(preferably in advertising) is a must

• A postgraduate degree in a relevant quantitative field (e.g.

applied mathematics, statistics, engineering, computer science,

physics, operations research, economics, behavioral sciences).

PhD is a strong plus,

• Fluent in statistical analysis, data mining, and machine learning,
• Proficient in Python, SQL, PySpark, TensorFlow, Sklearn,
• Enthusiasm for solving interesting problems,
• Willingness to learn and work in a team-oriented and constantly

changing environment.

• Nice to have

Previous experience in

- Auction optimization

- Highly imbalanced classification problems

- Game theory

- Time series forecasting

- State-space modeling

- Function-Approximation Algorithms

What we also work with

We work with a wide range of tools, technologies and processes.

The right candidate should have willingness to learn new

technologies. In this role is you will get hands-on experience with

many established and emerging technologies:

Technologies:

GCP and AWS,

BigQuery,

DevOps tooling:

CI/CD,

Docker,

Airflow,

Kubernetes,

Grafana,

Jupyterhub

Other:

Challenging constraints (high volume, low latency),

Integrating with high performance technologies,

Efficient work with Big Data (wrangling, modeling, low

latency inference),

Developing data-driven products.