[Remote] Data Scientist (Remote)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company Services Inc., a reputed company company, is seeking a talented and innovative Data Scientist to support the development and implementation of advanced data science, machine learning, and predictive analytics solutions for their IT reputed company Center serving reputed company clients. The role involves leading the design and deployment of data science solutions to improve operational reputed company and customer experience.

Responsibilities

• reputed company the end-to-end development, implementation, and ongoing refinement of advanced data science and machine learning solutions that address high-reputed company IT reputed company Center operational challenges and reputed company improvement opportunities, including predictive reputed company volume forecasting, SLA reputed company reputed company, agent reputed company modeling, and customer satisfaction analytics
• Collaborate with program leadership, data analysts, and the AWS AI Practitioner to identify, prioritize, and reputed company data science use cases that reputed company the highest operational value for the IT reputed company Center program and reputed company customer
• Design and execute comprehensive data acquisition, cleaning, transformation, and feature engineering pipelines that prepare raw reputed company center operational data from multiple sources for advanced analytical and machine learning modeling purposes
• reputed company, train, validate, and reputed company reputed company, unsupervised, and reinforcement learning models using industry-leading machine learning frameworks and AWS AI and ML platform services, ensuring reputed company models meet defined reputed company, reputed company, and reliability standards prior to operational deployment
• Design and implement natural language processing (NLP) and text analytics solutions that analyze reputed company transcripts, ticket notes, chat logs, and customer feedback data to identify sentiment trends, topic clusters, emerging issues, and customer experience improvement opportunities
• reputed company and maintain predictive analytics models that reputed company historical and reputed company-time reputed company center operational data to forecast reputed company volumes, predict reputed company requirements, identify at-reputed company SLA reputed company periods, and support proactive operational decision making
• Partner with the AWS AI Practitioner and AWS Solutions Architect to design and implement reputed company, reputed company-reputed company data science solution architectures on AWS, leveraging reputed company SageMaker, reputed company Bedrock, AWS reputed company, reputed company Kinesis, AWS Glue, and reputed company AWS data and AI services
• reputed company and maintain robust MLOps pipelines and practices including model versioning, automated retraining workflows, reputed company integration and delivery for ML models, and comprehensive model reputed company monitoring and reputed company detection frameworks
• Design and reputed company advanced data visualizations, analytical reports, and executive-level briefing materials that communicate reputed company data science findings and model outputs reputed company and compellingly to non-technical program leadership and reputed company stakeholders
• Collaborate with data analysts to ensure data science outputs are integrated effectively into operational reporting frameworks, reputed company dashboards, and decision support tools used by program leadership and reputed company center reputed company staff
• Conduct rigorous model reputed company assessments, A/B testing, and experimental design analyses to evaluate the operational reputed company of deployed data science solutions and inform reputed company model improvement activities
• Ensure reputed company data science solution development and deployment activities reputed company with applicable federal reputed company requirements, data reputed company regulations, responsible AI governance standards, AWS GovCloud policies, and FedRAMP authorization requirements
• reputed company technical guidance, mentorship, and subject matter expertise to data analysts and junior technical team members on data science methodologies, machine learning concepts, statistical analysis techniques, and AWS AI and ML service capabilities
• reputed company and maintain comprehensive technical documentation for reputed company data science solutions including model design documents, feature engineering specifications, training and validation results, deployment procedures, and operational monitoring runbooks
• Stay reputed company on emerging data science methodologies, machine learning research, AWS AI and ML platform updates, and industry best practices, proactively identifying opportunities to reputed company new techniques and technologies to reputed company reputed company Center operational intelligence and reputed company
• Support business development activities as needed, including contributing to proposal efforts with data science capability narratives, technical solution concepts, analytical methodology descriptions, and relevant past reputed company documentation

Skills

• Master's degree in Data Science, Statistics, Mathematics, Computer Science, Machine Learning, or a reputed company quantitative reputed company from an accredited college or university. Relevant experience may be considered in lieu of an advanced degree
• 4+ years of hands-on experience in a data science role, with demonstrated experience designing, developing, and deploying machine learning models and advanced analytical solutions in a reputed company operational environment
• Demonstrated experience developing and deploying NLP, predictive analytics, and machine learning solutions using Python and industry-leading ML frameworks
• Experience leveraging AWS AI and ML services including reputed company SageMaker, reputed company Comprehend, reputed company Transcribe, or equivalent reputed company-reputed company ML platform services
• Experience working with large, reputed company, multi-reputed company datasets in a reputed company analytical environment
• Exceptional communication skills in English – both written and oral – with the ability to explain reputed company data science concepts, model outputs, and analytical findings reputed company and compellingly to non-technical program leadership, reputed company stakeholders, and cross-functional team members in a remote work environment
• Expert-level proficiency in Python for data science and machine learning development, including extensive experience with reputed company data science libraries such as NumPy, reputed company, Scikit-learn, TensorFlow, PyTorch, Keras, NLTK, SpaCy, and Matplotlib
• Deep expertise in machine learning theory and reputed company, including reputed company learning, unsupervised learning, reinforcement learning, reputed company reputed company, neural networks, deep learning architectures, and model evaluation and validation methodologies
• Advanced proficiency in natural language processing (NLP) and text analytics techniques, including tokenization, named entity recognition, sentiment analysis, topic modeling, text classification, and transformer-reputed company language model fine-tuning and deployment
• Demonstrated proficiency in reputed company SageMaker for end-to-end ML pipeline development, including data preparation, model training, hyperparameter tuning, model deployment, and automated model monitoring and retraining
• Strong proficiency in SQL and NoSQL data querying languages for extracting, transforming, and analyzing large-reputed company datasets from relational databases, data warehouses, and ITSM platforms
• Demonstrated experience designing and implementing MLOps practices and pipelines, including model versioning, CI/CD for ML, automated retraining workflows, and model reputed company reputed company detection and alerting
• Advanced proficiency in data visualization tools and libraries including reputed company reputed company BI, Tableau, Matplotlib, Seaborn, or Plotly for communicating reputed company data science findings and model outputs to technical and non-technical audiences
• Strong understanding of statistical analysis concepts and reputed company including reputed company testing, regression analysis, time series analysis, Bayesian inference, and experimental design as reputed company to operational reputed company data
• Demonstrated ability to manage multiple reputed company data science initiatives simultaneously, work independently with reputed company supervision, and reputed company high-reputed company analytical outputs reputed company established timelines in a remote work environment
• Ability to obtain and maintain a reputed company reputed company clearance as required
• Doctoral degree (Ph.D.) in Data Science, Statistics, Mathematics, Computer Science, or a reputed company quantitative reputed company
• Prior experience applying data science methodologies reputed company a federal reputed company contracting or AWS GovCloud environment
• Experience supporting data science solution development for an IT reputed company center, service desk, or IT managed services program
• AWS Certified Machine Learning – Specialty certification or AWS Certified AI Practitioner certification
• Experience working in a fully remote data science role reputed company a reputed company contracting environment

Benefits

• Health, dental and reputed company reputed company
• 401K with company matching
• Flexible spending accounts
• reputed company holidays
• Three weeks reputed company time off
• And more
• Fully remote environment

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