Senior Data Scientist

4 weeks ago

Bengaluru, Karnataka, India Verve Group Full time

About Verve Group

Verve Group has created a more efficient and privacy-focused way to buy and monetize advertising. We are 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, our 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. We are a subsidiary of Media and Games Invest (MGI). Learn more at .


About The Role

In this pivotal position, you will spearhead the utilization of Data Science, collaborating closely with product and engineering teams. You will lead our audience-focused Data Science team and partner with Machine Learning Engineers to translate prototypes into impactful solutions. We are looking for a Senior Data Scientist to join our team and contribute to the development of cutting-edge data science solutions.

Key Responsibilities

  • Lead the cleaning, preprocessing, and analysis of complex datasets to derive actionable insights
  • Develop and deploy advanced machine learning algorithms and statistical models
  • Oversee the evaluation of model performance, driving iterative improvements in accuracy and efficiency
  • Communicate insights and recommendations effectively through compelling visualizations and presentations
  • Uphold coding standards to produce high-quality, maintainable code
  • Collaborate closely with platform/runtime data teams to ensure the delivery of top-tier solutions
  • Maintain regular communication with stakeholders and project managers
  • Architect robust ML systems and frameworks
  • Prepare comprehensive technical documentation
  • Lead a distributed team of Data Scientists

Requirements

  • 7+ years of experience delivering impactful data science solutions in production, encompassing design, and implementation across backend, data, and ML domains
  • Advanced degree (Masters or PhD) in a quantitative field (e.g., applied mathematics, statistics, engineering, computer science)
  • Expertise in developing and supporting high-performance distributed systems
  • Deep understanding of statistical modeling and machine learning techniques
  • Strong proficiency in Python, with extensive experience in relational and non-relational databases (e.g., BigQuery, PostgreSQL, ScyllaDB, Redis)
  • Proven track record in cloud computing platforms such as GCP and AWS (including Kubernetes)
  • Familiarity with ML Ops tools, common data science libraries (e.g., TensorFlow, PyTorch), CI/CD pipelines, and version control (e.g., GitHub)
  • Proficiency in SQL, PySpark, and Scikit-learn, with desirable experience in Airflow/Spark, Jupyter, and deep learning frameworks
  • Exceptional problem-solving skills and a passion for tackling complex challenges
  • Ability to thrive in a dynamic, collaborative environment and drive results independently

What We Offer

  • Join a multicultural team (55+ nationalities) that is bringing advertising to the next level
  • Be part of a company that is constantly growing and evolving
  • Benefit from working with some of the most experienced professionals in our industry
  • 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
  • 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)
  • Employee Referral Bonus
  • Employee Shares Purchase Plan
  • 19 holidays per year in addition to any of the public/bank holidays
  • Personalized Benefits Platform
  • Medical insurance for self and family

Verve Group provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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