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Senior role analyzing player behavior and game economy for mobile titles like Dragon City, using SQL, Python, and A/B testing to drive engagement and monetization strategies.
Principal Data Analyst at Zynga in Barcelona shapes game strategies and player engagement using SQL, Python, and experimentation to drive data-informed decisions for mobile games.
Principal Data Analyst at Zynga designs and implements advanced analytics and ML models to predict player behavior and improve game experiences, using SQL, Python, and visualization tools.
Senior analyst at Zynga who partners with game teams to drive data-informed product strategy, A/B tests, predictive models, and mentorship while improving analytics standards.
Data Scientist building end-to-end predictive ML models—from Snowflake data exploration through AWS SageMaker deployment—to drive customer retention, marketing strategy, and growth for a Dutch lottery that funds charities.
Who Are We Bags.fm is the development company that builds and operates the entire technology stack behind , the leading launchpad for new projects and ideas. The systems are low latency, high throughput, live under…
Leads advanced analytics and AI solutions for Campbell Soup, developing ML models (MLOps, TensorFlow, PyTorch) to optimize supply chain, marketing, and retail operations while mentoring teams and driving data-driven decision-making.
COMPANY DESCRIPTION NVPC is the national agency dedicated to growing a culture of volunteerism and philanthropy in Singapore. By engaging individuals, organisations, communities and leaders across the people, private…
The Senior Data Scientist will design and deploy scalable machine learning models and AI-driven data products to optimize seller segmentation, contact quality, and engagement for Amazon Business. The role involves collaborating with cross-functional teams to implement predictive models and explore GenAI applications to drive seller growth across global marketplaces.
Leads MLOps and forecasting platform architecture on Databricks, designing scalable pipelines for campaign projections, budget forecasting, and incrementality testing to optimize ad delivery at scale.
The Machine Learning Scientist will build causal and machine learning models to evaluate and improve localization algorithms for Netflix's global content. The role involves partnering with cross-functional teams to define strategy and measure the impact of localization on member experience.
The Staff Data Scientist will lead the development of next-generation AI systems and autonomous agents to improve Walmart's global operations. The role involves architecting end-to-end ML pipelines, mentoring senior talent, and deploying production-grade AI solutions using technologies like PyTorch, LangChain, and cloud-based ML platforms.
The Lead Quantitative Analyst will build and maintain econometric and statistical models to forecast revenue and analyze business drivers within the insurance brokerage industry. The role involves using Python, SQL, and Palantir to create transparent, data-driven insights for senior leadership.
The Lead Data Scientist will develop and implement advanced analytics, machine learning, and optimization models to improve supply chain and plant operations. This role involves partnering with business leaders to drive strategic decisions, mentoring team members, and leveraging tools like Python, SQL, and cloud-based AI platforms.
Leads AI/ML pricing models and data pipelines for e-commerce/pawn lending platform, optimizing prices across categories via Gen AI, LLMs, and experimentation to drive revenue and customer engagement.
Leads an embedded Project Management Unit (PMU) within the Maharashtra Government’s Ministry of Agriculture, focusing on AI-driven agriculture, policy support, and digital tech scaling for smallholder farmers. Manages cross-functional teams, stakeholder relationships, and program delivery across multiple workstreams in Mumbai, Pune, and district offices.
A Product Data Analyst who partners with product teams to analyze behavioral trends, drive data-informed strategy, and build analytics infrastructure (Snowflake/dbt) for Dialogue’s health/wellness platform.
Staff Data Scientist driving growth analytics, experimentation, and statistical/ML modeling to improve acquisition, retention, and monetization for Shakepay's Canadian bitcoin platform, primarily using SQL and Python.
Lead Growth Data Scientist at Shakepay, a Canadian Bitcoin financial-services platform, using SQL, Python, experimentation, and statistical analysis to drive acquisition, retention, and product decisions across cross-functional teams.
Senior Data Scientist focused on growth analytics, partnering with engineering, marketing, finance, and operations to drive data-informed decisions, experiment design, and user behavior analysis for Shakepay’s fintech platform.
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