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Data Scientist
Brooksource Louisville, KY
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$116k-143k (estimate)
Full Time 6 Days Ago
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Brooksource is Hiring a Data Scientist Near Louisville, KY

Job Title: Data Scientist

Company: Brooksource/Humana

Location: 100% Remote

Job Description:

Are you envisioning your next career move within a Fortune 50 healthcare giant? Do you thrive in dynamic, high-energy, agile environments? If these descriptors align with your career aspirations, we have an exciting opportunity waiting for you!

We are seeking a seasoned Data Scientist to become an integral part of our Capacity Performance Engineering (CAPE) team. The ideal candidate will possess robust experience in writing R or Python code and developing ML/AI predictive models within an enterprise-level infrastructure environment. You will play a pivotal role in creating predictive analytics around capacity and waste for usage of their hardware, software, etc.

Key Responsibilities:

  • Collaborate with the CAPE team to develop predictive analytics centered around capacity and waste within the infrastructure space, encompassing hardware, software, and related usage.
  • Utilize advanced statistical and machine learning techniques to analyze complex datasets and derive actionable insights.
  • Design, develop, and implement ML/AI models to optimize resource allocation and enhance operational efficiency.
  • Work closely with cross-functional teams to gather requirements, validate models, and drive the adoption of data-driven decision-making processes.
  • Continuously monitor model performance and make iterative improvements to ensure accuracy and relevance.

Qualifications:

  • Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or a related field.
  • Proven experience in data analysis, predictive modeling, and machine learning, with a focus on infrastructure or operations.
  • Proficiency in programming languages such as R or Python, along with experience in data manipulation and visualization libraries.
  • Solid understanding of statistical concepts and methodologies, including regression analysis, time series forecasting, and hypothesis testing.
  • Familiarity with database systems and SQL for data extraction and manipulation.
  • Excellent communication and collaboration skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
  • Strong problem-solving abilities and a proactive approach to identifying and addressing challenges.

Job Summary

JOB TYPE

Full Time

SALARY

$116k-143k (estimate)

POST DATE

06/23/2024

EXPIRATION DATE

07/12/2024

WEBSITE

brooksource.com

HEADQUARTERS

DENVER, CO

SIZE

1,000 - 3,000

FOUNDED

2000

CEO

KEITH BUHRDORF

REVENUE

<$5M

INDUSTRY

Business Services

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About Brooksource

At Brooksource, our business is people. Relationships are at the center of everything we do. A successful partnership is only as strong as the relationship built. Since 2000, Brooksource has established and maintained relationships with our clients, consultants, and internal employees in an effort to create an unparalleled experience. Were your trusted partner for delivering on technology initiatives through a variety of resourcing solutions. We provide technology solutions ranging from contingent labor to managed services, along with our niche consulting programs Elevate and Project Patriot w...hich address workforce talent gaps. With a growing national presence, Brooksource is working to redefine what to expect from an IT Services provider. Brooksource provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws More
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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.

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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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