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Data Scientist
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$96k-118k (estimate)
Full Time 6 Days Ago
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Tundra Technical Solutions is Hiring a Data Scientist Near Chicago, IL

We are seeking an experienced Data Scientist focused on developing and enhancing non-financial risk analytics capabilities. The ideal candidate will have a strong background in data science, cloud technology (specifically AWS), and machine learning. You will play a critical role in building data models, creating data pipelines, and developing analytical solutions that provide insights into risk management.

Location: 100% remote for Chicago, Toronto, Bay Area locals!

Responsibilities:

  • Design, develop, and implement data models and ETL (Extract, Transform, Load) processes using AWS Glue and other AWS services.
  • Build data pipelines to aggregate data from multiple sources and enable advanced analytics.
  • Collaborate with cross-functional teams to develop machine learning models and AI capabilities using AWS SageMaker.
  • Ensure data quality and governance by implementing best practices in data management.
  • Work closely with stakeholders to understand business requirements and translate them into data-driven solutions.
  • Support ongoing digital transformation initiatives by enabling advanced analytics and automation capabilities.

Qualifications:

  • 5 years of experience as a Data Scientist or in a similar analytical role.
  • Strong experience with AWS cloud services, particularly AWS Glue and AWS SageMaker.
  • Proficiency in Python, with experience in data manipulation and transformation.
  • SQL knowledge; familiarity with R is a plus.
  • Experience with ETL processes, including data ingestion, cleansing, normalization, and integration.
  • Understanding of data governance, data quality assurance, and best practices in data management.
  • Excellent communication skills (verbal and written) with the ability to interact with technical and non-technical stakeholders.

Preferred Qualifications:

  • Experience in operational risk management, non-financial risk analytics, or a related field.
  • Knowledge of governance, risk, and compliance (GRC) tools such as Archer.

Soft Skills:

  • Strong sense of ownership and ability to work independently on assigned tasks and projects.
  • Strong problem-solving skills and a passion for leveraging data to drive business outcomes.

Job Summary

JOB TYPE

Full Time

SALARY

$96k-118k (estimate)

POST DATE

09/06/2024

EXPIRATION DATE

09/25/2024

HEADQUARTERS

TORONTO, ONTARIO

SIZE

100 - 200

FOUNDED

2004

CEO

JONATHAN PROTHERO

REVENUE

$50M - $200M

INDUSTRY

Business Services

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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 III 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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