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Octo, an IBM company, is an industry-leading, award-winning provider of technical solutions for the federal government. At Octo, we specialize in providing agile software engineering, user experience design, cloud services, and digital strategy services that address government's most pressing missions. Octo delivers intelligent solutions and rapid results, yielding lower costs and measurable outcomes.
Our team is what makes Octo great. At Octo you'll work beside some of the smartest and most accomplished staff you'll find in your career. Octo offers fantastic benefits and an amazing workplace culture where you will feel valued while you perform mission critical work for our government. Voted one of the region’s best places to work multiple times, Octo is an employer of choice!
We are looking for a mid level Data Scientist to support an initiative within the Department of Veterans Affairs (VA). In this role you will work across our client engagements, providing expertise in cloud computing, such as Azure Cloud including AML, ADF/Azure Cloud, Machine Learning, NLP, Bigg data procession, Depp learning, Azure/Databricks/Data Lake, ADF, Python (data wrangling, joins, cleaning, visualization, statistical learning), Azure SQL, Git, Apache Spark (cluster computing/managing). You will be responsible for solutioning and development of production-ready statistical and machine learning models that leverage healthcare, healthcare operations, and related datasets, as well as contribute to and produce technical and data process documentation.
Us...
We were founded as a fresh alternative in the Government Consulting Community and are dedicated to the belief that results are a product of analytical thinking, agile design principles and that solutions are built in collaboration with, not for, our customers. This mantra drives us to succeed and act as true partners in advancing our client’s missions.
Program Mission...
This program supports Veterans Affairs' strategic mission of furthering efforts to modernize its data analytics platform and enhance accessibility to enterprise data and reporting tools.
Octo is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. Selected applicant will be subject to a background investigation.
Octo is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Octo will be the hiring entity. By proceeding with this application, you understand that Octo will share your personal information with other IBM affiliates involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: https://www.ibm.com/careers/us-en/privacy-policy/”.
Responsibilities...
Requirements...
Desired Experience and Skills...
Years of Experience: 5 years of recent professional experience in data science, data mining, data analysis, business process analysis, and/or healthcare analytics.
Education: .Bachelors degree in a quantitative field such as Computer Science, Statistics, or Mathematics (or related field) required. Prefer M.S. and/or Ph.D.
Location: Remote within the United States.
Clearance: Ability to obtain a Public Trust security clearance.
Full Time
Business Services
$119k-146k (estimate)
04/14/2023
04/09/2024
octoconsulting.com
RESTON, VA
15,000 - 50,000
2006
Private
LAEL LYONS
$50M - $200M
Business Services
Octo is a provider of data visualization, cybersecurity, agile engineering, infrastructure and cloud solutions for government agencies.
The job skills required for Data Scientist include Data Science, Machine Learning, Python, Collaboration, Consulting, 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.
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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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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.
01/31/2022: Passaic, NJ
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.