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JOB SUMMARY
The Data Scientist I will be an integral member of the Data and Business Intelligence team. In this role, the Data Scientist I will support Data Engineers and Solution Architects with data exploration, interpretation, publishing and Data Storytelling. The ideal candidate will leverage their knowledge and experience using a variety of data mining and statistical analysis methods, to build algorithms, predictive models, and perform custom analysis. The Data Scientist I will identify patterns, correlate data and apply techniques such as machine learning, statistical modeling, and AI to find actionable insights using data for better business decision making.
ESSENTIAL FUNCTIONS
Data Mining and Analysis – Able to inspect, cleanse, transform and model data with the goal of discovering useful information, informing conclusions and supporting decision-making through statistical modeling
Data Modeling-Able to write, test, debug, and maintain data workflows for end-user adoption, productivity improvement and efficiency.
Technical Design-Able to identify, analyze, specify, design, and translate functional design to technical design.
Requirements Elicitation - Ability to identify a desired future state that addresses a business problem.
Adherence to Standards – ability to create solutions that adhere to and incorporates RTS standards
Provide Accurate Project Effort Estimates – ability to quantify and meet individual and project phase level efforts
COMPETENCIES
Problem Solving - Ability to problem solve through problem identification (what is the problem), solution assessment (what can be done), problem documentation (document for future) and problem response (implementing a solution).
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Decision-making - Makes sound, well-informed, and objective decisions; perceives the impact and implications of decisions; commits to action, even in uncertain situations, to accomplish organizational goals.
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Customer Service - Ability to develop and maintain strong relationships with others by listening, understanding and responding to their needs.
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Company Business Knowledge - Understands the company, its products and the business processes.
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Accountability - Holds self-accountable for measurable high-quality, timely, and cost-effective results.
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Communication - Ability to communicate effectively across all levels to support departmental and organizational objectives.
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Building Collaborative Relationships - Develops, maintains, and strengthens partnerships with others inside or outside the organization.
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Leadership – Displays effort and commitment in carrying out the department’s goals and objectives.
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ANNUAL PAY:
$92,500 - $119,500
Required SkillsFull Time
Wholesale
$86k-104k (estimate)
11/05/2023
05/12/2024
The job skills required for Data Scientist I include Analysis, Data Science, Machine Learning, Python, Insight, Algorithms, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist I. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist I. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist I positions, which can be used as a reference in future career path planning. As a Data Scientist I, it can be promoted into senior positions as a Data Scientist II that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist I. You can explore the career advancement for a Data Scientist I below and select your interested title to get hiring information.
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.