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An internship analyzing business data for Phoenix Contact’s Product Management, Operations, Sales, and Marketing teams to identify trends, solve problems, and present actionable insights using tools like Power BI, SQL, and AI-assisted analytics.
Description Data Scientist/ Forward Deployed Engineer Overview Join a newly formed, executive-sponsored AI Transformation team focused on bringing AI solutions from concept to production across a large enterprise…
About the Opportunity Solaris is seeking a mid-level Data Scientist to support turbine operations and engineering reliability efforts. This role bridges data engineering, statistical/ML modeling, and turbine domain…
Senior Data Scientist at Zocdoc in New York designs and analyzes marketing experiments, attribution models, and performance metrics to optimize patient acquisition and retention using SQL, Python/R, and statistical methods.
Enterprise Data Analyst building Power BI dashboards, SQL-based data products, and data marts to support a fintech employee financial wellbeing platform.
The Senior Data Scientist will build machine learning models and perform causal analysis to understand customer value, behavior, and segmentation for client engagements. The role requires strong Python and SQL skills to translate complex data into actionable business recommendations.
Senior Data Engineer designing and optimizing Snowflake environments and customer data foundations to power CRM, personalization, and audience activation using Snowflake, SQL, dbt, and reverse ETL/CDP tools like Braze and Hightouch.
Analyzes cloud, AI, SaaS, and on-prem billing data to build cost models, forecasts, and dashboards, advising clients on optimizing tech spend via automation and KPI-driven insights.
Builds and deploys AI/ML models for Telstra’s operational systems, translating data into actionable business insights. Focuses on feature engineering, model development, GenAI integration, and end-to-end solution design with cross-functional teams.
Senior Data Scientist at Quantium working on the Customer iQ team for Telstra, transforming model predictions into data products and use cases, designing solutions with stakeholders, directing team members, and serving as a data science SME. Core technologies include Python and SQL with focus on predictive modeling.
Develops AI/ML algorithms for defense applications, integrating models into systems and collaborating with cross-functional teams to solve complex national security challenges.
Designs and optimizes AWS-based cloud infrastructure, data systems, and AI-driven analytics for a real estate management platform (Entrata), shaping data flows and custom tools to support business operations and resident experience.
Leads soccer analytics/data science projects for Major League Soccer, using player/competition data to inform strategic decisions and improve the league’s sporting product. Combines technical expertise (SQL, Python, ML) with deep soccer knowledge to advise stakeholders and develop data-driven recommendations.
The Royal College of Dental Surgeons of Ontario (RCDSO) is a leader in health care regulation. As the governing body for more than 12,000 dentists in Ontario, our mission is to act in the public interest by putting…
Develops AI/ML models (text/image processing) for clinical research using AWS SageMaker; collaborates with cross-functional teams to deploy models for trial acceleration and healthcare insights.
Data Scientist in Pune applying ML, LLMs, and predictive modeling on complex datasets to drive data-driven decisions in retail/quick commerce, using Python, SQL, and statistical techniques.
Build and optimize AI/ML models for computer vision tasks using TensorFlow/PyTorch, deploying scalable solutions on AWS with CI/CD pipelines.
Onsite Data Analytics freelance role in Bengaluru for the ExpertsHub project, focused on turning large datasets into actionable insights using DBT, BigQuery, Python, and data modeling to support strategic decision-making.
Develops data-driven models and machine learning solutions for geotechnical laboratory analytics, QAQC automation, and predictive geotechnical modeling using Python and related tools.
The Associate Director, Clinical Data Scientist will lead advanced analytics and data science strategies for clinical trials, utilizing R, Python, and AI/ML to generate actionable insights. The role involves cross-functional collaboration to ensure high-quality, submission-ready data in compliance with regulatory standards.
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