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Senior Data Scientist
1 month ago
At TechLink Resources, Inc, we're seeking a talented Data Scientist to join our Ad Platforms team. As a key member of our team, you'll be responsible for building, enhancing, and maintaining our high-performance, distributed, microservice-based Advertising Platform.
Key Responsibilities:
• Drive innovation and apply state-of-the-art machine learning techniques to boost our advertising capabilities, including inventory forecasting, planning, pricing, targeting, decisioning, and efficient ad delivery.
• Collaborate with cross-functional teams to identify business opportunities and translate business questions into data science frameworks. Leverage advanced data analytics skills to extract key insights.
• Develop scalable and efficient methods for large-scale data analysis and model development.
• Build and experiment with brand-new algorithms and models throughout production rollout and continuous optimization.
• Mentor team members and guide their technical development.
Requirements:
• 6+ years of hands-on experience in machine learning and advanced analytics. Experience in the advertising domain is preferred.
• Solid understanding of ML technologies, mathematics, and statistics.
• Proficient with Python and SQL.
• Passion to understand the ad business and apply accurate research studies according to the business scenario, and seek innovation opportunities to enhance business effectiveness.
• Passion for technology, open to interdisciplinary work, and experience in building data-driven services and applications.
• Proven track record of thriving in a fast-paced, data-driven, collaborative, and iterative applied research environment.
Preferred Qualifications:
• Experience in digital video advertising or digital marketing domain.
• Experience with CTR/CVR model, generative AI.
• Experience building and deploying full-stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment.
• Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
• Experience loading and querying cloud-hosted databases such as Snowflake.
• Familiarity with automated deployment, AWS infrastructure, Docker, or similar containers.
Required Education: BS
