Job Description
Verve is seeking a Senior Data Scientist with 5+ years of industry experience, especially in advertising. A postgraduate degree in a quantitative field is required, along with proficiency in Python, SQL, PySpark, TensorFlow, Sklearn. This role will focus on Ad-Exchange Optimization projects, including win price prediction and supply/demand forecasting.
Good To Have:
- Auction Optimization
- Time Series Forecasting
- Game Theory
- State-Space Modeling
Must Have:
- Data Scientist
- Industry Experience
- Python, SQL
- Machine Learning
Perks:
- Wellness Days
- Training Budget
About the job
Job Description
Who We Are
Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 13 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at www.verve.com.
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
Our Data Science role includes the following responsibilities:
What You Will Bring
Previous experience in
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:
Who We Are
Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 13 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at www.verve.com.
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
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
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.
Previous experience in
- Auction optimization
- Highly imbalanced classification problems
- Game theory
- Time series forecasting
- State-space modeling
- Function-Approximation Algorithms
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.
- Join one of the top privacy-first omnichannel ad platforms and gaming companies
- Be part of a multicultural team (55+ nationalities) that is bringing advertising to the next level
- Benefit from working with some of the most experienced professionals in our industry and constantly grow with us
- You will learn and evolve in an empowering environment characterized by entrepreneurial actions
- Responsibility, independence, and an opportunity to participate in projects that have a significant impact on Verve Group’s success
- 3 Wellness days per year to help you maintain your well-being (in Q1, Q2 and Q3 after min. 90 days of employment)
- Enhance your professional skills with a yearly training budget and improve your language skills through German and/or English classes.
- Work and Travel Program (monthly raffle after 2 years of employment)
- We are happy to build a great team together and we appreciate your help through our Employee Referral Bonus
- Align your interests with the company's success and take part in our Employee Shares Purchase Plan
- You will be entitled to 18 holidays per year in addition to any of the public/bank holidays
- Personalized Benefits Platform; with a budget of 4100 INR/month, you can choose the benefits that fit you best from the following options:
- Mobility and travel
- Entertainment and food
- Fitness and health care
- Enjoy food and beverage benefits with colleagues and have fun during team events
- Medical insurance for self and family
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