Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Data Scientist (US)
Indianapolis, IN · On-site
This role requires associates to be in-office 1 day per week, fostering collaboration and ... Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ...
Data Scientist (US)
Indianapolis, IN · On-site
This role requires associates to be in-office 1 day per week, fostering collaboration and ... Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
... and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments * 2+ years of experience deploying and ...
... and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments * 2+ years of experience deploying and ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Leading data science or statistical analysis initiatives by defining project scope, analytic ... deep learning, or exploratory data analysis. * Overseeing data preparation, data quality, data ...
Data Science Associate
Notre Dame, IN · On-site
$57K - $58K/yr
The Data Science Associate will work at the intersection of data engineering and analytics, focusing on data processing, cleaning, and analysis to support revenue generation and business intelligence ...
Data Science Associate
Notre Dame, IN · On-site
$57K - $58K/yr
The Data Science Associate will work at the intersection of data engineering and analytics, focusing on data processing, cleaning, and analysis to support revenue generation and business intelligence ...
Data Scientist Senior
Indianapolis, IN · Hybrid
This role requires associates to be in-office 1 day per week, fostering collaboration and ... Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ...
Data Scientist Senior
Indianapolis, IN · Hybrid
This role requires associates to be in-office 1 day per week, fostering collaboration and ... Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ...
Associate Data Scientist Deep Learning information
What is the difference between Associate Data Scientist Deep Learning vs Data Scientist?
| Aspect | Associate Data Scientist Deep Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, Data Science, or related; familiarity with deep learning frameworks | Bachelor's or Master's in CS, Statistics, or related; broader data analysis skills |
| Work Environment | Focus on developing deep learning models, often in AI or ML teams | Broader data analysis, visualization, and modeling across various projects |
| Employer & Industry Usage | Tech companies, AI startups, research institutions | Finance, healthcare, retail, tech, and more |
The main difference is that Associate Data Scientist Deep Learning specializes in developing deep learning models, requiring specific knowledge of neural networks and frameworks. Data Scientists have a broader scope, including traditional data analysis, statistical modeling, and visualization. Both roles often require similar educational backgrounds but differ in technical focus and project types.
Data Scientist-Direct Hire-6-Month Register
Evansville, IN
$125K/yr
Other
Posted 13 days ago
Job description
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions
- Position(s) are to be filled in the following area(s):
- DAO DATA AND ANALYTICS
- Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIRMENTS: BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
- Leading data science or statistical analysis initiatives by defining project scope, analytic approach, data requirements, schedules, deliverables, or success measures; coordinating work across data, program, business, or technology stakeholders; and developing findings or recommendations for program or operational decisions.
- Developing or applying statistical, machine learning, operations research, artificial intelligence, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, neural networks or deep learning, or exploratory data analysis.
- Overseeing data preparation, data quality, data governance, data certification, or analytic product delivery using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision-support products.
- Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
- Advising managers or senior leaders on data science findings, automation opportunities, policy or program impacts, resource implications, risks, or recommended changes to processes, procedures, or operations.
- Providing technical guidance, review, or mentoring to analysts or data scientists and preparing technical reports, briefings, presentations, or documentation that explain methods, assumptions, limitations, validation results, success measures, key performance indicators, or recommendations.
You must also meet the following requirements:
- MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
- Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
- Completed a formal vocational training program; or
- Received a statement from school authorities agreeing with your preference for employment rather than continuing your education
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER