Enterprise Data & AI Solution ArchitectJob SummaryAs an Enterprise Data & AI Solution Architect within Darktrace's TechOps Centre, you will lead the design and evolution of enterprise data, analytics and AI solutions across Darktrace's Microsoft technology https://jobeax.com/link/8eCu4g68SO5sOI6t with business, data, technology, ...
... topic-modeling and trace-clustering approaches (Clio-style summarize-then-embed pipelines, BERTopic, c-TF-IDF) is a strong plus - Proficient in Python and the standard data-science stack (pandas, scikit-learn, statsmodels, numpy) - Data engineering competence — you can design and ship ETL and data models (dbt or equivalent), not ...
... of clinical trial data structures, CDISC standards (SDTM, ADaM), and regulatory requirements. - Strong analytical and problem-solving skills, with a focus on data accuracy and quality. - Excellent communication and leadership skills, with the ability to work collaboratively in cross-functional teams and manage multiple ...
... Intelligence dashboards that effectively communicate data insights to non-technical stakeholders.- Strong analytical mindset with the capability to synthesize disparate data points into a cohesive narrative that influences executive-level decision-making.- Excellent interpersonal skills, with a track record of collaborating effectively ...
DATA SCIENTIST - TIME SERIES FORECASTINGAre you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that ...
... candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop data models using generative AI and LLM technologies. Implement retrieval-augmented generation techniques to improve data accessibility. Analyze complex datasets to ...
... pipelines Automate workflows for data ingestion, preprocessing, training, validation, and deployment Establish monitoring and alerting systems for model performance, data drift, and infrastructure health Ensure reproducibility, traceability, and compliance with regulatory standards Work closely with data scientists, data engineers, ...
... jobs and recurring data pipelines.- Implement data quality checks, control totals, exception handling, and reconciliation processes.- Work with stakeholders, data owners, and vendor teams to validate source data, file formats, mappings, and integration requirements.- Support SIT, UAT, production deployment, and data-output ...
... Data Analyst or in a similar role, with a focus on product analytics. - 3-5 years of experience. - Expert-level proficiency in SQL. - Strong experience with data visualization tools, particularly Tableau. - Hands-on experience with cloud data warehouses like Snowflake and data transformation tools like dbt. - Proficiency ...
... translate stakeholder needs into clear, testable requirements and communicate effectively with technical teams. Strong SQL skills and experience working with large datasets. Familiarity with modern data environments and tooling (e.g., Databricks, ETL/ELT concepts, Azure, ADF, Python). Experience with governed data environments ...
... (or similar business intelligence tools) is essential. Strong understanding of marketing concepts and metrics, including keyword bidding, CPM, CPC, CPA, etc. Excellent analytical and problem-solving skills with the ability to translate data into actionable insights. Proven ability to work effectively in a fast-paced environment ...
Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical ...
... Scikit-learn, with experience using libraries such as XGBoost, LightGBM, CatBoost, and Statsmodels. Experience working with large datasets and data pipelines, including data preprocessing, data quality checks, transformation, aggregation, and feature generation using tools such as SQL, Spark/PySpark, and cloud data platforms. Strong ...
... transaction-level data modeling, data quality, auditability, data lineage, and production pipeline ownership, preferably within finance, risk, or compliance data https://jobeax.com/link/cZ8zpMXwj45ivho4 Responsibilities : - Own data architecture and system design decisions for data pipelines and data models.- Design and ...
... to 10 years of experience in Data Analysis / Data Analytics.- Strong proficiency in SQL, Excel (Pivot Tables, Advanced Functions), and Python.- Experience in data modeling, reporting, and dashboarding.- Strong analytical and problem-solving skills.- Ability to work with large and complex datasets.- Excellent communication ...
... 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. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... 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. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... working with large datasets. Experience building dashboards and reporting using tools such as Hex, Looker, Tableau, Power BI, or similar. Familiarity with modern data warehouses and transformation tools such as Snowflake, BigQuery, Databricks, or similar. Strong understanding of data modeling, data quality, reconciliation, ...
... you will do :- Translate business questions into clear metrics and an analysis plan.- Prepare and analyse large datasets using SAS, SQL and Python.- Reconcile data sources, validate calculations and investigate discrepancies.- Identify what is driving performance and recommend actions supported by the data.- Deliver findings ...
... We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Work with data scientists, data analysts, computational engineers, machine learning engineers, software developers, or business representatives across our global organization ...