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Data Scientist (Hybrid Role - St. Louis, MO)
$104k-128k (estimate)
Contractor 2 Weeks Ago
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Infotree Global Solutions is Hiring a Data Scientist (Hybrid Role - St. Louis, MO) Near St Louis, MO

Description:

  • Local Candidates Only - Hybrid: Currently could be onsite 2-3 days per week if needed. This could change to 3 days on site at the end of the summer.
  • Candidates must possess a strong foundation in econometrics, interpretable machine learning, and statistical inference, coupled with coding proficiency in either R or Python and the flexibility to use the other, as necessary. They should also have effective communication skills for engaging with both business stakeholders and technical colleagues.

Skills Required:

  • Required: A bachelor’s degree and 5 years of experience, or a master’s degree with 3 years, or a PhD, in Economics, Statistics, Marketing, or a related STEM field.
  • Open to recent graduates with a PhD, as research experience fulfills the requirement for work experience.
  • Must haves: Solid background in econometrics, interpretable machine learning, and statistical inference coupled with a robust statistical and analytical acumen; effective communication skills; proficiency in coding with at least one of R or Python, with the ability to utilize the other as needed; creative, initiative, critical thinking, and proactive problem-solving abilities.
  • Good to Have: Experiences in AWS, Big Query, SQL, R-shiny, and Dash.

Job Summary

JOB TYPE

Contractor

SALARY

$104k-128k (estimate)

POST DATE

06/13/2024

EXPIRATION DATE

07/11/2024

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The job skills required for Data Scientist (Hybrid Role - St. Louis, MO) include Python, SQL, Problem Solving, Economics, AWS, Initiative, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist (Hybrid Role - St. Louis, MO). 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 (Hybrid Role - St. Louis, MO). Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Scientist (Hybrid Role - St. Louis, MO) positions, which can be used as a reference in future career path planning. As a Data Scientist (Hybrid Role - St. Louis, MO), 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 (Hybrid Role - St. Louis, MO). You can explore the career advancement for a Data Scientist (Hybrid Role - St. Louis, MO) 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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