5 data scientist Jobs in brazil, in
TLNT is Hiring a Data Scientist Near Brazil, IN
The Role
- Support and maintain LATAM work using advanced analytics tools in a CI/CD environment.
- Collaborate with data engineers and ML engineers to gain a deep understanding of data and models.
- Utilize big data technologies to efficiently process data and construct scalable data pipelines, spanning from batch to real-time processing.
- Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure Pipelines, leveraging the powerful NGAA platform on Azure.
- Manage cloud alerts, monitors, dashboards, and troubleshoot machine learning infrastructure effectively.
- Ensure the accuracy of implemented forecasting solutions and continuously enhance the forecast accuracy.
- Conduct root cause analysis of demand issues and propose experimental approaches for solutions.
- Foster prompt and transparent communication with the business team and team members located in other areas.
- A minimum of 8 years of overall experience, including at least 5 years of hands-on work in data science and machine learning.
- Proficient in DevOps and machine learning, with practical experience using one or more cloud service providers (preferably Azure).
- Bachelor's degree in Computer Science, Mathematics, Physics, or a related technical field.
- Strong understanding of demand planning and management activities, including seasonal adjustments, promotions, discounts, and other relevant factors that influence forecasting.
- Skilled in developing both supervised and unsupervised machine learning models.
- Proficiency in statistical programming languages such as Python and R, as well as database query languages like SQL.
- Knowledgeable in statistical tests, distributions, regression, and maximum likelihood estimators.
- Desirable experience with Databricks and ADF. Familiarity with Spark, Hive, and Pig is an added advantage.
- Experience with version control systems like GitHub and continuous integration/continuous deployment (CI/CD) tools.
- Knowledge of ML Ops DevOps and deploying ML models is required. Preferred experience using ML, Flow, Kubeflow, etc.
Job Summary
Contractor
$99k-121k (estimate)
05/18/2024
09/02/2024
The job skills required for Data Scientist include Data Science, Machine Learning, Python, Computer Science, Big Data, Programming Language, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. 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. Select any job title you are interested in and start to search job requirements.
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.
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.
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