... etc). Create visualizations to help us deeply understand what our networks learn and why. Very comfortable writing Python. Atleast 3-6 years of experience in Data Science Strong data structures, algorithms, and engineering mathematics background. Familiar with PyTorch and training deep neural networks is preferred but not ...
... project problems Support Agile workflows and stay effective with UNIX command line tasks Requirements Demonstrated experience of 5+ years of professional work in Data Science Strong analytical skills in statistical data analysis, machine learning, and NLP while accounting for real-world limitations Advanced proficiency in Python ...
... tools tailored to their goals. We are working to build personalized financial journeys for our clients, powered by new-age tech, AI, Machine Learning and Data Science. Be part of a team that's scaling sustainably, thinking big, and building for the next billion. Tech Systems that run at Scale: From AI to real-time data infra, ...
... Computer Science, Computer Engineering, Information Technology, or a related technical field. Experience with data governance platforms such as Collibra, Alation, Data Catalog, Lineage, and Metadata Management solutions. Knowledge of relational, NoSQL, columnar, and MPP database technologies. Experience with CI/CD pipelines, ...
... work https://jobeax.com/link/TcYMIwwXyQaLOZSp Qualifications :- Prior experience in fast-paced or startup-like environments supporting global teams.- Expertise with cloud-based big data platforms (e.g., AWS, GCP, Azure).- Familiarity with machine learning operations and data science workflows is a plus. (ref:hirist.tech)
... Science or Masters in Computer Science, or related https://jobeax.com/link/3PYgDWHIOUvCkACq to Have : - Experience with Python or R for statistical analysis, data wrangling, or ML-adjacent workflows.- Familiarity with dbt or similar data transformation tools and modern analytics engineering practices.- Background in healthcare ...
... technical execution and emerging AI https://jobeax.com/link/f9LyLs7glaUomOJP And Qualifications :- 5 - 7 years of experience in a highly technical analytics or data science environment- Demonstrated experience delivering analytics solutions within a product or platform context, working in cross-functional teams- Experience ...
... analyzing results. Bachelor''s degree in Computer Science, Information Systems, Mathematics, Business, or related fields. Minimum of 4 years of experience in data analysis, with a preference for marketing within a data-driven company. Proficiency in Python, SQL and Tableau (or similar business intelligence tools) is essential. ...
... Costco Wholesale. Data Engineer The Data Engineer is responsible for developing data pipelines and/or data integrations of for Costco’s enterprise certified data sets that are used for business critical data consumption use cases (i.e. Reporting, Data Science/Machine Learning, Data APIs, etc.). The Data Engineer will partner ...
... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...
... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...
Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics) and a minimum of 3 years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments ...
... machine learning infrastructure, or data science workflows. - Experience building data systems that support analytics, machine learning, or other high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. ...
... machine learning infrastructure, or data science workflows. - Experience building data systems that support analytics, machine learning, or other high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. ...
... Design, Performance Tuning.- Data Integration : Apache Kafka, AWS DMS, REST APIs, CDC.- Metadata & Governance : Apache Atlas (preferred), Metadata Management, Data Catalog, Business Glossary, Data Lineage, Data Stewardship, Data Quality.- Business Intelligence : Tableau, Semantic Layer, KPI Frameworks, Data Mart Design, ...
... expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks ...
... real payment history, decide whether it's an enforcement problem or a pricing problem, and defend the call with the data. Who You Are: - 2 to 5 years in data science or applied ML with a focus on product analytics, growth, or user behaviour - Strong SQL and real comfort working with large, event-level behavioural data at ...
... data health, usage, reliability, and platform cost https://jobeax.com/link/KCHJgtvBKt4TmRKa And Experience : - Education : Bachelor's or higher in Computer Science, Data Science, AI/ML, Applied Mathematics, Engineering, or related field.- Experience : 8+ years in data engineering, data management, AI data foundations, ...
... organization and help build the data infrastructure, reporting, and analytics that power financial and operational decision-making. This role combines analytics, data engineering, and applied data science, with a strong focus on translating complex operational data into reliable financial insights. While reporting within the ...
Education Role description ~ Bachelor's degree in Computer Science, Computer Engineering, Data Analytics, Business Analytics, or a relevant field. Required Experience 3+ years of experience in a Data Analyst, Business Analyst, BI Analyst, or similar role. Professional experience working with life science domain Demonstrated ...