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Data Scientist
$115k-142k (estimate)
Full Time Just Posted
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Kforce Technology Staffing is Hiring a Data Scientist Near Minneapolis, MN

Job Details

RESPONSIBILITIES:
Kforce has a client that is seeking a Data Scientist in Minneapolis, MN.
Responsibilities:
* Independently scope and execute projects under guidance of more senior Data Scientists; Develop milestones and project steps for tracking progress
* Data Scientist will design and document coding requirements for attribute/feature product development
* Extract and clean data to support analytic project work
* Conduct analysis to validate output is coded as designed by other functional areas
* Apply statistical techniques and work with large data assets to conduct analytic research and data studies, build statistical models and complete various analytic projects
* Design, construct, and implement analytical components for products including statistical or machine learning models, AI features, and statistical measurements
* Engineer prompts for AI features
* As a Data Scientist, you will communicate analytic conclusions to both analytic and non-analytic stakeholders
* Collaborate with cross-functional teams including fraud and crime analysts, product management, project management and technologists to execute projects
* Other duties as assigned
REQUIREMENTS:
* At least an Undergraduate degree in Data Science, Mathematics, Statistics or related field and 4 years of relevant work experience; Or a Master's degree and 2 years of relevant work experience
* Demonstrates competencies in relevant Data Science and/or Statistical frameworks
* Proficient in R, Python, or SQL; Able to select the right language to address the business needs
* Proficiency processing and manipulating large data sets including merging, slicing, sorting, constructing new features
* Strong documentation, written and verbal communication skills
* Strong analytical thinking skills
* Proficient interpersonal skills to be able to interface effectively with a broad range of contacts, from technical staff to management
* Strong organizational skills with the ability to handle multiple concurrent activities and to work successfully under pressure
* Self-starter comfortable in an innovative environment with vague definition of scope
* Detail oriented and critical thinker; Works well both independently and with cross-functional teams to execute projects
* Able to apply Machine Learning, Data Mining, and/or Statistical methods to build models
* Able to execute standard coding for projects and processes to do the job successfully using company standard toolsets
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Job Summary

JOB TYPE

Full Time

SALARY

$115k-142k (estimate)

POST DATE

06/01/2024

EXPIRATION DATE

07/31/2024

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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.

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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.

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

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A data scientist develops software to structure the raw data.

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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.

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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.

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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.

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

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

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

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

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

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