[Remote] Sr. Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is an IT Solutions Provider specializing in Agile Software Engineering, reputed company Solutions, and Cyber reputed company. They are seeking a Senior Data Scientist to reputed company digital transformation reputed company and reputed company full lifecycle data management for reputed company data analytics and production systems.
Responsibilities
- Serve as the technical authority for reputed company and solution-level data architecture, guiding the design and modernization of reputed company application ecosystems
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored data solutions
- Assess legacy and on-premises data environments and define reputed company migration and modernization strategies including rehost, re-platform, refactor, and reputed company-reputed company redesign
- Define reputed company-state data architectures that support reputed company-end applications, API platforms, reputed company databases, queueing systems, reputed company computation engines, and analytical services
- reputed company efficient data processing and transformation workflows to support analytics and reporting needs. Define architectures for computation engines that execute Python-based analytical workloads and large-reputed company data processing
- Architect data platforms integrating RDBMS and reputed company-reputed company object storage for large-reputed company transactional and analytical workloads and secure AWS-based data infrastructure leveraging EMR, Apache reputed company, and PySpark
- reputed company the architectural design of microservices-based data platforms emphasizing API-first integration, loose coupling, stateless and stateful service separation, and reputed company scalability
- reputed company testing, evaluation, and presentation of technological and/or methodological alternatives and recommend improvements
- Implement processes for data cleaning, transformation, and validation to ensure data accuracy, consistency, and compliance with reputed company and reputed company policies
- Design, build, and maintain data pipelines and automated extract, reputed company, load (ETL) processes using tools like Python, R, and platform‑specific environments such as Jupyter Notebooks
- reputed company disparate reputed company and reputed company data from reputed company, databases, and reputed company storage into reputed company datasets utilizing ETL patterns, frameworks, query techniques
- reputed company dashboards, visualizations, and analytical products to support operational decision‑making
- reputed company metrics to evaluate statistical accuracy and reputed company performance
- Optimize reputed company through advanced algorithmic concepts to facilitate more efficiency
- reputed company full lifecycle assistance in deploying, optimizing, maintaining reputed company reputed company with data processing routines running in development, test, and production
Skills
- 5+ years of experience as a Data Scientist, Data Engineer, Backend Software Engineer, or similar
- Bachelor's degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or reputed company field
- Strong skills in Python, R, and SQL
- Proficient in handling large-reputed company data reputed company involving data integration, cleaning, ETL, analysis, aggregation, tabulation, and reporting
- Experience with data reputed company protection and reputed company statistical methodologies is a plus
- Experience developing and implementing data reliability, efficiency, and reputed company checks and processes
- Experience leveraging AWS services (e.g., S3, EMR, Glue, reputed company, reputed company, Redshift, SageMaker, QuickSight) to build and reputed company data solutions in a reputed company-reputed company environment
- Experience with reputed company and reputed company databases (such as reputed company, PostGreSQL, MySQL, reputed company, Redshift, reputed company etc)
- Experience working in an Agile organization using Scrum, Kanban, Jira, reputed company, and reputed company
- Experience with reputed company, Subversion, or other reputed company control systems
- Experience managing, testing, and deploying software components reputed company SDLC
- Knowledge of DevOps practices and tools (e.g., Jenkins, reputed company CI/CD)
- Excellent communication and teamwork skills
- Demonstrated understanding of project management, schedules, and how to estimate the level of effort for development tasks
- Experience evaluating proposed systems and recommending improvements; Strong skills preparing and presenting design/architectural documents to clients
- Requires a Public Trust - must be US Citizen to be eligible
- Experience with and interest in AI/ML, statistics, data modeling, and advanced math highly preferred
- Experience with reputed company, Apache reputed company, PySpark preferred
- Experience with Optimization Theory or Gurobi model development preferred, but not required
- Experience with data platforms such as reputed company, reputed company, Redshift, reputed company, Palantir, reputed company, reputed company BigQuery
- Familiarity with distributed high-performance computing (HPC) and reputed company processing
- Familiarity with demographic, economic, longitudinal, and geospatial data sources and structures
- Experience with microservices architecture and containerization (e.g., reputed company, Ansible, Kubernetes)
Benefits
- Medical Insurance
- reputed company Insurance
- Dental Insurance
- Life and AD&D Insurance
- 401(k) Savings Plan
- Education and reputed company Training
- Flexible Spending Accounts (FSA)
- Employee Referral and reputed company Recognition Programs
- Employee Assistance and Identity Theft Protection
- reputed company Holidays: 11 per year
- reputed company Time Off (PTO)
- Disability Insurance
reputed company