17 Data Scientist (Machine Learning) Jobs in Irving, TX
SysMind is Hiring a Data Scientist (Machine Learning) Near Irving, TX
- Strong proficiency in programming languages such as Python, R, or Scala, as well as experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
- Solid understanding of statistical concepts and techniques, such as hypothesis testing, regression analysis, and time series forecasting.
- Experience with machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch) for classification, regression, clustering, and anomaly detection.
- Knowledge of banking or financial services domains, including customer behavior modeling, credit risk assessment, fraud detection, and marketing analytics.
- Experience working with big data technologies and platforms (e.g., Hadoop, Spark, Kafka) is a plus.
- Excellent analytical and problem-solving skills, with the ability to work independently and collaboratively in a fast-paced environment.
- Strong communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
- Proven track record of delivering high-quality, actionable insights and solutions that drive business impact in a banking or financial services context.
Job Summary
Full Time
$108k-136k (estimate)
06/08/2024
07/04/2024
sysmind.com
Princeton Junction, NJ
200 - 500
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The job skills required for Data Scientist (Machine Learning) include Analysis, Machine Learning, Python, Insight, Algorithms, Problem Solving, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist (Machine Learning). 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 (Machine Learning). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist (Machine Learning) positions, which can be used as a reference in future career path planning. As a Data Scientist (Machine Learning), 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 (Machine Learning). You can explore the career advancement for a Data Scientist (Machine Learning) 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.
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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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