41 Data Scientist Jobs in Austin, TX
Celink is Hiring a Remote Data Scientist
As a Data Scientist, you will analyze complex mortgage and servicing operations data sets to extract valuable insights that can assist in making data-driven business decisions. You will need to understand the analytical use case and collaborate with available resources to comprehend the available data and determine the most suitable statistical/analytical model for the job. You will perform feature engineering and model selection. Once you have tested the model and obtained the desired results, you will present them using visualization tools like Power BI and “productionalize” the model for automated insights.
This is an excellent opportunity to join a fast-paced team and enhance your data scientist skills. The ideal candidate for this role should possess a solid background in data analysis, statistics, and machine learning, as well as exceptional problem-solving and communication abilities.
Duties and responsibilities
- Gather requirements from stakeholders. Collaborate with multiple teams to identify business problems and develop data-driven solutions
- Perform extensive data analysis to extract insights from large and complex data sets
- Design, develop and implement data models and algorithms
- Develop predictive models to forecast business trends and outcomes
- Use data visualization tools to communicate findings to stakeholders in a clear and concise manner.
- Continuously monitor and improve model performance
- Understand and references technical designs and specifications to share with stakeholders
- Will participate in ad-hoc deep dive sessions
- Write documentation in Confluence on the established analytical models, add analysis results on Epic pages
- Communicate with scrum masters to prioritized work from assigned Jira Epics
- Keep up to date with the latest industry trends and techniques
Minimum Qualifications
- Bachelor's degree, preferably in Data Science, Mathematics or Statistics, is required, along with minimum of 5 years of applicable experience; or master’s degree along with a minimum of 3 years applicable experience.
- Modeling experience with large amounts of data sets in Data Science and Machine Learning is required
- Experience building predictive models
- Experience working in a Data Scientist advanced data analytics role
- Experience analyzing and communicating statistical analyses required
- Strong programming skills in Python and Jupyter
- Proficient in SQL for data extraction and manipulation
- Experience with machine learning frameworks such as TensorFlow or PyTorch and environments like Amazon SageMaker
- Familiarity with data visualization tools such as Power BI
- Excellent communication and problem-solving skills
- Ability to work in a fast-paced environment and manage multiple projects simultaneously
- Experience and ability to work in environment with 2-week sprints with pre and post routines.
- Must be successful working in fast-paced development cycles
- Experience working with cloud-based platforms such as AWS
- Excellent communication skills
- Excellent analytical and critical thinking skills
- Proven experience in technical writing and requirements gathering
- Strong knowledge of JIRA/Confluence
- Strong knowledge of Microsoft Office applications
- Knowledge of mortgage servicing data is a plus
- Tenacity to problem-solve using data and seeing the big-picture business needs
- Attentive to details, methodical and rigorous. It bothers you if some data you own is incorrect
- Mortgage and finance knowledge strongly preferred
Working conditions
Work may be performed in a professional office or home office environment with no unusual hazards. This role routinely uses standard office equipment such as computers, phones, headsets, photocopiers, filing cabinets and fax machines.
EEO Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Job Summary
Full Time
$92k-113k (estimate)
06/24/2023
05/11/2024
celink.net
Victorville, CA
<25
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The job skills required for Data Scientist include Data Science, Machine Learning, Python, Insight, Algorithms, SQL, 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.
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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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