Data Scientist
Data Scientist
Posted on :
19-02-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Position: Data Scientist
Duration: 12 Months
Location: Atlanta Charlotte (Local Only)
- As part of the Cyber Data Integration Solutions (CDIS) team at Client you will work to understand business goals operations and objectives and use your data science knowledge and experience to identify explore and validate new use cases. You will also collaborate with stakeholders to build rapid prototypes and run pilots that test key technical and business assumptions as you develop implement and scale up solutions that bring business value and/or reduce risk. You will collaborate with other data scientists as well as other data engineers software engineers and UX developers who are part of the CDIS team and who manage the cyber security data warehouse and data fabric (data pipeline design development operations and maintenance) build and update key metrics used for cyber security operations and for executive reporting and create data visualizations for rapid selfservice consumption of key metrics.
- In this role you will ultimately be responsible for the following: Perform sophisticated analytics (statistical and predictive analytics root cause analysis machine learning modeling etc.) to provide actionable insights that improve business outcomes and minimize risk and provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Following is a summary of the essential functions for this job. Other duties may be performed both major and minor which are not mentioned below. Specific activities may change from time to time.
- Independently perform sophisticated data analytics (encompassing data mining inferential statistical analysis and predictive analytics for example) on structured and unstructured data. Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk.
- Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
- Work with extract transform and load (ETL) developers to test and validate data attributes and with other business analysts to ensure data is integrated consistently regardless of the source system.
- Analyze information to determine business needs from requests and implement effective technical solutions by providing problem analysis and resolution in a timely manner and explain and interpret complex difficult or sensitive information.
- Analyze available data and find the root cause of a business problem. Develop technical solutions by providing problem analysis and resolution in a timely manner and explain/interpret complex difficult or sensitive information. Provide users with progress updates.
- Drive efforts related to automating repeatable data preparation and integration tasks. Partner with technology teams to understand data capture testing needs and to build and test endtoend solutions.
- Support new ongoing and strategic projects and take accountability and ownership of endtoend data science solution design technical delivery and measurable business outcome.
- Extract and evaluate information gathered from multiple sources resolve data conflicts and customize communication of key data findings while providing recommendations to diverse audiences.
- Codesign the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value. Emphasize reusability and scalability in all design development deployment and mentoring activities through implementing consistent coding standards and best practices focusing on clarity of communication across stakeholder groups and maintaining rigorous documentation.
- Exercise sound judgment and foster risk management culture throughout design development and deployment practices; partner with crossfunctional teams to coordinate rules on data usage; data governance and analytics capabilities; help with the overall risk management for the team.
- Actively research and advocate adoption of emerging methods and technologies in the data science field with the eye of continually advancing Clients capabilities.
QUALIFICATIONS
- Required Qualifications:
- The requirements listed below are representative of the knowledge skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Bachelors degree in a quantitative field such as Finance Mathematics Analytics Data Science Computer Science or Engineering or equivalent education and related training
- Indepth knowledge in practices theories and methodologies associated with the professional discipline such as statistics programming (such as Python etc.) machine learning model development business information visualization etc.
- High level of competency in statistical and analytical principles tools and techniques including a broad understanding of classical statistics probability theory econometrics timeseries and primary statistical tests
- Indepth knowledge of SQL relational databases ETL development and concepts data integration concepts and big data concepts
- Experience in managing multiple projects with tight deadlines in a collaborative environment.
- Strong analytical and critical thinking capabilities and ability to multitask work independently and deliver under pressure.
Preferred Qualifications:
- Masters degree or PhD in a quantitative field such as Finance Mathematics Statistics Econometrics Analytics Data Science Computer Science or Engineering
- Four years of relevant work experience if candidate lacks graduate degree
- Previous experience in the banking or fintech industry
- Experience working with cloudbased architecture (AWS Snowflake etc.) and cloud data analytics or computing
Kindly share following mandatory submission template along with updated resume for immediate consideration:
Candidate Name
Present location (city state or ZIP)
Work Authorization
Tel No
Email ID
*Onsite availability (postselection)
Total onsite experience working in US
Overall relevant experience of candidate
Rate/Salary
Last name of employer (Client)
LinkedIn (Must)
Education Details
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
