Data Scientist (2023-0136) Jobs

Acclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow. We are actively hiring a Data Scientist to support the U.S. Government working in the Washington Metropolitan Area.

Education:

Bachelor’s degree in one of the following fields or related studies with emphasis on statistical analysis:

• Applied Math, Economics, Physics, Statistics, Data Science, Chemistry, Computer Science, Data Analytics, Electrical or Computer Engineering, Quantitative Science (e.g.Bioinformatics, Computational Social Science)

Required Qualifications:

• Exploratory Data Analysis and Visualization — Candidates should display an ability to explore and ask questions of data through descriptive statistics and visualization
• Intermediate: Demonstrate substantial experience in at least two abilities:
• Computational skills or Software Engineering — Candidate can describe complex, reusable software they built, the development process they can articulate the role of computational methods in the application of data science.
• Computer vision — Candidate should understand topics like object detection, segmentation and classification and identify a range of applications
• Entry Level: Demonstrate aptitude in at least two abilities:
• Data or Systems Engineering — Candidate can describe a variety of database types, data workflow tools, explain relational/non-relational databases, data models and ETL design
• Statistics — Candidate should demonstrate understanding of statistical concepts including hypothesis testing, statistical learning (regression, decision trees, and classification), descriptive statistics, time series analysis, and Bayesian analysis
• Simulation and Modeling — Candidate should demonstrate an understanding of statistics and knowledge such as Bayesian modeling, causal inference, agent-based modeling or physics-based simulations
• Full Performance: Demonstrate mastery in at least one ability and substantial experience with at least one other ability
• Natural Language Processing (NLP) - Candidate should understand concepts including working with Unicode, tokenization, lemmatization, term frequencies, stop words, and topic modeling
• Artificial Intelligence and Machine Learning
• Graph Analytics — Candidate should understand basic data structures (directed, undirected, nodes, edges). They should understand basic graph algorithms, like centrality and shortest path, and application of graph databases

Desired Qualifications:

• Experience with cloud computing like AWS or Google Cloud
• Experience with computer programming, especially Python
• Firm understanding of mathematics and/or statistics
• Experience with parallelization and multiprocessing techniques
• Experience working with data rich problems through research or programs
• Advanced Degree in a data science or data science equivalent
• Experience with visualization or User interface (UI)

Minimum Qualifications:

• Ability to meet the minimum requirements for joining the U.S. Government, including US Citizenship and a background investigation
• Willigness to travel

Equal Employment Opportunity / Affirmative Action

ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, gender identity, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by federal, state or local law. It is the policy of ATS not merely to refrain from employment discrimination as required by the various federal, state, and local enactments, but to take positive affirmative action to realize for women, people of color, individuals with disabilities and protected veterans full equal employment opportunity. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status.

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