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CIYIS
Atlanta, GA | Full Time
$97k-119k (estimate)
2 Days Ago
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CIYIS
Atlanta, GA | Contractor
$105k-131k (estimate)
2 Months Ago
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Atlanta, GA | Full Time
$106k-130k (estimate)
1 Month Ago
Visionaire Partners
Atlanta, GA | Full Time
$106k-130k (estimate)
1 Week Ago
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Atlanta, GA | Contractor
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Atlanta, GA | Full Time
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Atlanta, GA | Full Time
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Atlanta, GA | Full Time
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Atlanta, GA | Full Time
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Atlanta, GA | Full Time
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Atlanta, GA | Full Time
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Chick-fil-A
Atlanta, GA | Full Time
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CeDent
Atlanta, GA | Full Time
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Data Scientist
CIYIS Atlanta, GA
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$97k-119k (estimate)
Full Time 2 Days Ago
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CIYIS is Hiring a Data Scientist Near Atlanta, GA

We are seeking a Cognitive Scientist to join our dynamic team! This position contributes to the assessment, design, build, and deployment of Data Cloud solutions utilizing industry best practices. This role focuses on the application of cognitive science to enable artificial intelligence with enterprise business applications. Supports pilots and approaches for learning representations from textual data to enhance information discovery and improve human decision making. Contributes to team research and development efforts in the areas of training design, competency modeling, and cognitive metrics. You will be part of a highly innovative fast-paced team, incorporating and inventing emerging software technologies to deliver best practice Data Cloud solutions. This Engineer will play a hands-on part in driving the architecture, design, and implementation of Snowflake for our clients.
Responsibilities
  • Participate as a data scientist in the project team and provide agile software delivery, best-practice expertise to deliver results for an organization.
  • Collect data and identify data sources
  • Lead discussions and assess the feasibility of AI/ML solutions for data processes and outcomes
  • Analyze huge amounts of data, both structured and unstructured
  • Create solutions and strategies to business problems
  • Work with team members and leaders to develop data strategy
  • To discover trends and patterns, combine various algorithms and modules
  • Present data using various data visualization techniques and tools
  • Investigate additional technologies and tools for developing innovative data strategies
  • Create comprehensive analytical solutions, from data gathering to display; assist in the construction of data engineering pipelines
  • To boost general effectiveness and performance, stay current with the newest tools, trends, and technologies
  • Collaborating together with the product team and partners to provide data-driven solutions created with original concepts
  • Create analytics solutions for businesses by combining various tools, applied statistics, and machine learning
  • Architect, implement, and monitor data pipelines, as well as conduct knowledge sharing sessions with peers to ensure effective data use
Qualifications
  • Experience with artificial intelligence, machine learning, Natural Language Processing, knowledge discovery and data mining, unstructured data analytics.
  • Experience with one or more programming languages/frameworks including but not limited to: Java, C/C , PyTorch, Jupyter Notebook, NumPy, Pandas, R, and/or Python.
  • Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar.
  • Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications)
  • Significant experience in systems analysis and solution development leveraging A.I./M.L
  • Significant experience translating and mapping business requirements to technical requirements
  • Experience in Microsoft Azure, Python, and SQL
  • Experience developing solutions in at least 4 of the following technology areas:
    • Government Cloud IaaS and PaaS (FEDRAMP Authorized solutions)
    • Microservices and Containers
    • DevSecOps
    • Data Analytics
    • ML/AI (Machine Learning / Artificial Intelligence)
Educational & Work Qualifications:
  • Advanced Degree required: Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics or Engineering
  • Must possess IT-II security clearance or have a current National Agency Check with Local Agency Check and Credit Check (NACLC).
  • No visa sponsorship available and must be able to pass a government background check (eligible to hold a government clearance).
CIYIS is an Equal Opportunity Employer and all Qualified Applicants will receive consideration for employment without regard to Race, Color, Religion, Sex, National Origin, Disability Status, Protected Veteran Status or any other Characteristic Protected by Law.

Job Summary

JOB TYPE

Full Time

SALARY

$97k-119k (estimate)

POST DATE

04/27/2024

EXPIRATION DATE

05/12/2024

WEBSITE

ciyis.net

HEADQUARTERS

Atlanta, GA

SIZE

<25

INDUSTRY

Business Services

Show more

CIYIS
Full Time
$106k-134k (estimate)
2 Months Ago
CIYIS
Remote | Contractor
$105k-131k (estimate)
2 Months Ago
CIYIS
Remote | Contractor
$106k-134k (estimate)
2 Months Ago

The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

Visionaire Partners
Full Time
$106k-130k (estimate)
1 Week Ago

If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Scientist job description and responsibilities

Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

12/22/2021: Dallas, TX

Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

02/17/2022: Lompoc, CA

A data scientist develops software to structure the raw data.

02/16/2022: Lansing, MI

Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

02/12/2022: San Diego, CA

Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

02/01/2022: Peoria, IL

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

01/31/2022: Passaic, NJ

Data scientists lay a solid foundation to help perform all kinds of analysis.

01/31/2022: Champaign, IL

Data scientists are also expected to have stronger software engineering skills that data analysts.

02/19/2022: Springfield, OR

Business analysts are focused on reporting, just like data analysts.

02/04/2022: Jamestown, NY

A data scientist should understand the assumptions that need to be met for each statistical test.

03/04/2022: Hialeah, FL

Step 3: View the best colleges and universities for Data Scientist.

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