Data Scientist specializing in GenAI solutions, collaborating across teams in Citi’s Innovation Labs. Driving model validation and adopting AI capabilities within the bank.
About the role
- Principal Data Scientist creating data-driven solutions using statistical models and machine learning at NTT DATA. Responsible for managing analytics and driving business value from data insights.
Responsibilities
- Develops, designs, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.
- Partners with stakeholders to identify opportunities for leveraging data to drive business solutions and leverage other data sources to enhance analysis.
- Works cross functionally to research, design, implement and deploy scalable data analytics vision and machine learning solutions to challenge complex business issues.
- Designs and enhances data collection procedures to include information that is relevant for building analytic systems.
- Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
- Responsible for providing meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
- Responsible for performing analysis using programming languages or statistical packages such as Python and R.
- Responsible for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business.
- Creates SQL queries for the analysis of data and visualizes the output of the models.
- Creates documentation around processes and procedures and manage code reviews.
- Responsible for ensuring that industry standards best practices are applied to development activities.
Requirements
- Extended demonstrated experience in a data science role in a corporate environment and/or related industry.
- Extended demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing.
- Extended demonstrated experience in programming languages (R, Python, etc.).
- Extended demonstrated experience working with and creating data architectures.
- Extended demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data.
- Extended demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist developing and implementing machine learning models at Gauge, enhancing partner results through integrated solutions. Focusing on data analysis and model deployment.
Data Scientist managing big data analyses and developing machine learning models. Collaborates closely with business and IT stakeholders to implement data - driven solutions aligning with organizational goals.
Data Science Analyst focused on predictive modeling and user segmentation at Inmetrics, developing statistical models and translating data insights into strategic recommendations.
Product Analytics Team Lead enhancing analytics as a strategic function in Ukrainian IT company. Collaborating across teams to impact product decisions and optimize data processes.
Data Scientist designing bespoke data science solutions at Faculty, working on impactful AI projects for public services. Collaborating closely with clients to drive delivery excellence through innovative techniques and strong relationships.
Principal Supply Chain Data Scientist optimizing advanced analytics solutions for HP's global supply chain. Collaborating with executives to drive strategic decision - making and enhance operational efficiency.
Junior Data Science Associate in e - commerce working in a team to prepare ML models. Collaborating with experts to define business goals and monitor model performance in production.
Manager, Data Scientist for Hyundai’s Safety Office driving analytics and data solutions. Collaborating on projects directly impacting safety initiatives using machine learning and data pipelines.
Principal Data Scientist at Wood Mackenzie leading AI - native capability development for the Energy & Natural Resources consulting portfolio. Collaborating with cross - functional teams to drive revenue growth and deliver AI - driven analytical products.