Data Scientist 650

(EDO) Entertainment Data Oracle, Inc.; McLean (VA); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Flexible work environment

Competitive compensation and benefits

Opportunities to grow and advance your career

Abundant benefits including matching 401(k)

Fully paid medical

Generous paid time off

Paid training and tuition reimbursement

Fully paid life and disability insurance

Company-sponsored events

Job summary

(EDO) Entertainment Data Oracle, Inc. in McLean, Virginia is seeking a Data Scientist to develop and analyze complex queries on large datasets. The ideal candidate will have an active security clearance and demonstrate proficiency in programming languages such as Python and SQL. Benefits include a flexible work environment, competitive compensation, and opportunities for career growth. Join a team of innovative professionals dedicated to technical support for the Sponsor Agency.

Qualifications

• An active security clearance with a polygraph is mandatory.
• Demonstrated experience with ECL and HPCC is required.
• Experience manipulating structured and unstructured data is essential.
• Proficiency in programming languages like Python, R, and SQL is necessary.

Responsibilities

• Develop and analyze complex queries against large data stores.
• Provide technical targeting analytic support to the Sponsor Agency.
• Validate and use methodologies in clustered computing environments.

Skills

Active security clearance with a polygraph

ECL and HPCC experience

Technical targeting analytic support experience

Manipulating high-volume structured and unstructured data

Proficient in Python, R, Pig, Java, C, SQL

Large scale parallel processing experience

Education

Educational or practical experience in a STEM field

Job description

Data Scientist

Freedom Technology Solutions Group is looking for a Data Scientist to apply and enhance skills with developing, running, and analyzing results of complex queries against massive scale data stores.
The candidate will also increase their skills with the following:

• Manipulating high-volume structured and unstructured data to perform analysis and generate reporting/products.
• Using analytic techniques and tools and All-Source data analysis to provide technical targeting analytic support to the Sponsor Agency.
• Performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments.

Required Skills

• An active security clearance with a polygraph.
• Demonstrated experience with ECL and HPCC.
• Demonstrated experience using analytic techniques and tools performing technical targeting analytic support for the Sponsor.
• Demonstrated experience manipulating high-volume structured and unstructured data to perform analysis and generate reporting/products.
• Demonstrated experience using computer languages (Python, R, Pig, Java, C, SQL) to perform large scale parallel processing of data.
• Demonstrated experience performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments.

Desired Skills

• Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field.

Benefits

• Flexible work environment.
• Team mentality – work with friendly, like-minded professionals.
• Opportunity to work with innovative, cutting edge technologies.
• Competitive compensation and benefits.
• Work‑life balance you can count on.
• Opportunities to grow and advance your career.
• Abundant benefits including matching 401(k), fully paid medical, and more.
• Generous paid time off – including paid site closure days.
• Competitive salary offerings.
• Paid training and tuition reimbursement.
• Fully paid life and disability insurance.
• Company‑sponsored events (game nights, holiday party, summer party, happy hours).

Equal Opportunity Employer

As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status.