Senior Data Scientist - Unlimited Growth Potential

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Job Description - Senior Data Scientist - Unlimited Growth Potential

We are in need of an organized Senior Data Scientist to join our inspiring team at T-Rex Solutions in Washington, DC.
Growing your career as a Full-Time Senior Data Scientist is a great opportunity to develop exceptional skills.
If you are strong in attention to detail, people management and have the right personality for the job, then apply for the position of Senior Data Scientist at T-Rex Solutions today!

The Senior Data Scientist will leverage their comprehensive expertise to support the development and transformation of large applications and data to support the digitally transformed US Census Bureau (USCB). The 2030 Decennial Census system-of-systems will be scaled up to become one of the largest and most successful production environments running in the AWS GovCloud region. We require an innovative engineer who can help our USCB customer plan for and develop 2030 Decennial Census applications in a new, highly secure enterprise cloud environment.

Responsibilities;

  • Primary responsibilities will focus on data science support
  • Review model output results according to technical requirements and verify that the algorithm design and implementation meet expectations, provide feedback and recommendations to address identified issues
  • Improve efficiency of data verification through process optimization and process automation
  • Convert existing modules and queries from legacy platforms such as SAS/STATA to PySpark for cluster-based processing
  • Collaborate with other data scientists on data analysis, implementation review, model verification, and performance improvement
  • Brainstorm, design, and develop data processing approaches, modules, and functions; prepare test data and configurations
  • Identify and evaluate open-source software packages to support modelling and analysis to improve cost-effectiveness
  • Work with application engineering and DevOps teams on data science package deployment; assist the teams on issues related to data science
  • Setup Spark and customize unit development environments according to technical needs
  • Maintain code base, data sets, and the related project documents associated with the data analysis
  • Work with shareholders on technical directions, project requirements, and technical updates
  • Provide SME-level support on cutting-edge methodologies such as those related to Artificial Intelligence and Machine Learning

Requirements:

  • Bachelor's Degree with 10+ years data science; 5 years Python/Pyspark/SAS/STATA
  • US Citizenship required. Candidates must also be able to pass a Department of Commerce Public Trust investigation
  • Extensive data science knowledge with strong modeling, analysis, and hands-on data background
  • Expertise in large-scale data processing, data research, data mining, and verification
  • Experience in Agile project methodology in a fast-pace development project environment
  • Familiar with information security principles and policies to protect sensitive information
  • Knowledge in applying AI/ML to data science projects and produce business results

Desired Skills:

  • Data Engineering experience desired
  • AWS database skills, vector DBs and graph DBs like Neptune
  • AWS SageMaker

T-Rex Overview

Established in 1999, T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government as it increasingly tries to secure and leverage the power of data. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.

T-Rex is constantly seeking qualified people to join our growing team. We have built a broad client base through our devotion to delivering quality products and customer service, and to do that we need quality individuals. But more than that, we at T-Rex are committed to creating a culture that supports the development of every employee's personal and professional lives. T-Rex has made a commitment to maintain the status of an industry leader in compensation packages and benefits which includes competitive salaries, performance bonuses, training and educational reimbursement, Transamerica 401(k) and Cigna healthcare benefits.

T-Rex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors.

As part of our overall strategy and commitment to maintaining a safe and healthy workplace, and in accordance with applicable regulations, employees of T-Rex must be fully vaccinated against COVID-19 if required by customer or client policies or federal mandates as a condition of employment, subject to reasonable accommodation and other requirements under applicable federal, state, and local law. If required by the customer, the selected individual will have to submit documentation of proof of vaccination before starting employment with T-Rex or have an approved exemption prior to the start of employment.

In compliance with pay transparency guidelines, the annual base salary range for this position is $75,000 - $190,000. Please note that the salary information is a general guideline only. T-Rex considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer.


Benefits of working as a Senior Data Scientist in Washington, DC:


● Opportunity to Make a Difference
● Advancement opportunities
● Advantageous package
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