Open Systems Technologies

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with a contract length of "unknown," offering a pay rate of "$X per hour." Key skills include expertise in machine learning, SQL, and large-scale data processing. A Master's or PhD in a related field and 5+ years of experience are required. Experience in online advertising is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 10, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
California, United States
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🧠 - Skills detailed
#Hadoop #Data Science #TensorFlow #Spark (Apache Spark) #Statistics #Python #Mathematics #A/B Testing #Libraries #PyTorch #ML (Machine Learning) #Data Processing #Datasets #Anomaly Detection #SQL (Structured Query Language) #Computer Science #R #BigQuery #Databases
Role description
About the Role: We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact. Duties: • Design, develop, and apply DS solutions to inform improvements in advertiser experience as well as company's ad platform & marketplace performance • Creating data assets (new tables, self-serve dashboards, etc.) to enable partners to answer their own data questions • Creating reporting dashboards for product and engineering partners to understand topline metrics movements and deep dive into specific areas of interest • Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform • Collaborate with product managers and engineers to define product requirements and translate them into data science solutions • Uncovering strategic insights and sharing them with stakeholders to shape future product directions • Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition • Communicate findings and recommendations to stakeholders across the organization Qualifications: • MS or PhD in Computer Science, Statistics, Mathematics, or a related field • 5+ years of experience in data science, machine learning, or a related field • Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design • Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus • Experience with SQL and relational databases • Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch Bonus Points: • Experience with online advertising and ad tech • Experience with causal inference and A/B testing