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Senior Data Scientist
Elder Research Arlington, VA
$115k-141k (estimate)
Full Time | Business Services 2 Months Ago
Save

Elder Research is Hiring a Senior Data Scientist Near Arlington, VA

 
Senior Data Scientist

Location: Arlington, VA

Hybrid role

Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.

We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients’ environment and needs.

Summary of Position:

As a Senior Data Scientist, you will work directly with clients, managers and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods.

Required Experience:

  • Data Scientist shall have a minimum of a Bachelor’s degree in computer science, statistics, or applied mathematics.
  • Demonstrated experience of four (7 ) years in creating machine learning pipelines to derive insights from data (i.e., from data aggregation and cleaning, to using machine learning techniques). 
  • Familiar with unsupervised (e.g., clustering), semi-supervised (e.g., label propagation) and supervised learning (e.g., ensemble classifiers) algorithms, and when it is appropriate to use each. 
  • Knowledge of deep learning paradigms and architectures is a plus. 
  • Deep experience in creating, managing, and analyzing large datasets. 
  • Familiar with contemporary scripting languages such as Python and R, the Hadoop computational ecosystem, Oracle relational databases, and the Linux/UNIX operating system.

About Elder Research, Inc

Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business over 20 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Elder Research believes in continuous learning; each week the entire company attends a “Tech Talk” followed by an office lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others. 

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$115k-141k (estimate)

POST DATE

02/05/2024

EXPIRATION DATE

05/07/2024

WEBSITE

elderresearch.com

HEADQUARTERS

CHARLOTTESVILLE, VA

SIZE

50 - 100

FOUNDED

1995

TYPE

Private

CEO

JOHN ELDER

REVENUE

$5M - $10M

INDUSTRY

Business Services

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The job skills required for Senior Data Scientist include Data Science, Machine Learning, Python, Insight, Algorithms, Computer Science, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior 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 Senior Data Scientist. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Senior Data Scientist positions, which can be used as a reference in future career path planning. As a Senior 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 Senior Data Scientist. You can explore the career advancement for a Senior Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Senior 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 Senior Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Senior Data Scientist job description and responsibilities

Senior Data Scientists rae responsible in formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.

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Collating and cleaning data from various entities for later use by junior data scientists.

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Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.

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They also monitor the performance of Junior Data Scientists and providing them with practical guidance, as needed.

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May also be tasked in selecting and employing advanced statistical procedures to obtain actionable insights.

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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 Senior Data Scientist jobs

Present final result to stakeholders. Make adjustments based on feedback.

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Learn the required skills to become a data scientist.

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Review additional data scientist certifications and post-graduate learning.

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Ask the right questions to begin the discovery process.

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Choose one or more potential models and algorithms.

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Step 3: View the best colleges and universities for Senior Data Scientist.

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