8 Jobs in Fort Meade, MD
Prime Time Consulting is Hiring a Data Scientist Near Fort Meade, MD
- Develop experiments to collect data or models to simulate data when required data are unavailable
- Develop feature vectors for input into machine learning algorithms
- Identify the most appropriate algorithm for a given dataset and tune input and model parameters
- Evaluate and validate the performance of analytics using standard techniques and metrics (e.g.,cross validation, Receiver Operating Characteristic [ROC] curves, confusion matrices)
- Oversee the development of individual analytic efforts and guide team in analytic development process
- Guide analytic development toward solutions that can scale to large datasets
- Partner with software engineers and cloud developers to develop production analytics
- Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation
- Lead a team of data scientists in the development of multiple analytic efforts
- Work with customers and Subject Matter Experts (SMEs) to define analytic requirements and guide the team in formulating analytics that meet requirements
- Guide the transition of prototyped analytics to production system
- Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions
- Delegate analysis responsibilities to one or more team members and monitor performance
(e.g., statistics, mathematics, operations research, engineering or computer science). Five years of
experience analyzing datasets and developing analytics, five years of experience programming with
data analysis software such as R, Python, SAS, or MATLAB. An additional two years of experience in
software development, cloud development, analyzing datasets, or developing descriptive, predictive,
and prescriptive analytics can be substituted for a Master's Degree. A PhD from an accredited college
or university in a quantitative discipline can be substituted for three years of experience
- Bachelor's and master’s degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB.
- A Master’s Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years experience required. A PhDfrom an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years experience required.
Job Summary
Full Time
$111k-137k (estimate)
04/13/2024
06/12/2024
The job skills required for Data Scientist include Analysis, Machine Learning, Python, Insight, Algorithms, Computer Science, 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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