... and business impact to both technical and non-technical stakeholders. Education & Experience - 1+ years of hands-on experience in classical machine learning, data science, predictive modeling, or statistical modeling. - D. in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, Engineering, or a related ...
... applications, or hybrid modeling approaches (physics-informed ML, combining domain knowledge with ML) - Familiarity with Agile development methodologies - Knowledge of data engineering, data warehousing, and SQL - Experience using data science techniques to solve real-world problems across multiple business domains and communicate ...
Data Science Data Engineer Work Type: Full Time At VIDA we're building the future of digital identity. As a Data Engineer you'll work across the stack—from platform and infrastructure to data pipelines and end-user tooling. You'll help us modernize our batch ETLs and lead our push into streaming and real-time fraud detection. ...
... our team, choose your own path and work on projects that excite you. The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving ...
... analyze large volumes of data. · Conduct research to develop and refine data science methodologies and techniques. Stay abreast of the latest advancements in data science and incorporate them into practice Skills and Experience | Essential: Educational Background: Bachelor’s degree in Data Science, Computer Science, Information ...
About the role :We are scaling our geospatial data-science capability - turning multi-source data (mobility, points of interest, demographic datasets, transaction signals, satellite imagery) into validated location attributes at fine spatial granularity (grid- and address-level) and powering ML models that are served as ...
... explanations of the calculations, statistical reasoning or modeling logic involved. No prior AI experience is required. The primary requirement is strong expertise in data science, statistics or another relevant quantitative discipline. What You'll Do - Interpret complex statistical and data science visualizations, including Sankey ...
... explanations of the calculations, statistical reasoning or modeling logic involved. No prior AI experience is required. The primary requirement is strong expertise in data science, statistics or another relevant quantitative discipline. What You'll Do - Interpret complex statistical and data science visualizations, including Sankey ...
... years of experience in data science, including hands-on development of AI/ML or optimization models and at least 2 years working with process event or behavioral data. - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field. - Proven track record of building ...
... or equivalent platforms where ML and GenAI capabilities coexist Experience contributing reusable frameworks, MLOps standards, internal accelerators, or shared data science utilities Working knowledge of distributed training, large-scale data processing, and performance optimization in production environments Experience with ...
... capture the most granular data. Align the engineering and product teams on the Data Granularity and accuracy requirements. Build Alerts to detect bugs in the data pipeline. Perform data analysis to test hypothesis and uncover factor influencing metric variations Build Feature Store for Data Science implementations Overall ...
... hands-on professional experience Education: BE/B.Tech/ME/M.Tech/MCA/MSc IT Primary Skills (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving ...
... Work with large datasets using PySpark and SQL Collaborate with engineering and product teams to design scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related ...
... continuous career progression, and opportunities to lead high-impact global projects. - Degree in Engineering, Computer Science, Information Technology, Data Science, or a related discipline. Formal training or certification in Data provisioning will be preferred. Experience: · 5+ years of rich experience with Data provisioning ...
... production issues, work with Databricks to open incident tickets/case and follow up to close the issue and ensure long term fixes - Additional knowledge of other Databricks key features, like Genie, Apps, Models creations etc Required Qualifications: - Bachelor's degree in computer science, Information Technology, Engineering, ...
... are not just data geeks – we are a family of scientists, refiners, and artisans. Our mission is to bridge the gap between intelligence and action, translating data into valuable insights and strategies. We work with businesses to create state-of-the-art solutions that push the boundaries of data science. Incorporated in ...
... Bachelor's degree (preferably in Computer Science, Mathematics, Data Science, or a related field). - 3-6 years of overall experience in software development and data analysis. - Hands-on experience in Python for application development. - Strong proficiency in SQL for data analysis and query generation. - Experience with hosted ...
... Storytelling- translate technical findings into clear, actionable recommendations for non-technical stakeholders, including senior leadership. 3-4 years of experience in data science, analytics, or a related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals ...