LanceSoft Inc., · 11 hours ago
Sr. Data Scientist
United States
Contract
Remote
Senior Level
$60/hr - $62.24/hr
6+ years expLanceSoft Inc. is seeking a Sr. Data Scientist to perform data and error analysis to improve models and validate data for accuracy. The role involves developing and deploying advanced machine learning models and AI solutions to enhance products and services, leveraging expertise in data science and AI technologies to drive business decisions.
Information Technology & Services
Responsibilities
Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making
Machine Learning Model Development: Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning
Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities
RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs
Model Fine-Tuning: Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications
Data Cleaning and Preprocessing: Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling
AI Model Deployment and Monitoring: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness
Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes
Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies
Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders
Mentors, coaches, and provides guidance to newer data scientists
Partner closely with business and other technology teams to build ML models, which helps in improving star ratings, reducing care gaps, and achieving other business objectives
Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate
Perform other duties as business requirements change, looking out for data solutions and technology-enabled solution opportunities, and make referrals to the appropriate team members in building out payment integrity solutions
Use a broad range of tools and techniques to extract insights from current industry or sector trends
Qualification
Required
AI and GenAI or Agentic AI Hands-on Experience: Must have this
Candidates must live in one of the preferred 15 states (AZ, FL, GA, ID, IA, KY, MI, NE, NM, NY (outside greater-NYC), OH, TX, UT, WA (outside greater-Seattle), WI) and will be able to work in their own time zone
6+ years' work experience as a data scientist, preferably in healthcare environment but candidates with suitable experience in other industries will be considered
Knowledge of big data technologies (e.g., Hadoop, Spark)
Familiar with relational database concepts, and SDLC concepts
Demonstrate critical thinking and the ability to bring order to unstructured problems
Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch
Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks
Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations
RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs
Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics
Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively
Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes
Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges
A minimum master's degree is required
Preferred
Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio, etc.) for working with AI workflows and deploying models
Familiarity with natural language processing (NLP) and computer vision techniques
Company
LanceSoft Inc.,
Established in 2000, LanceSoft is a pioneer in delivering top-notch Global Workforce Solutions and IT Services to a diverse clientele.
5001-10000 employees
H1B Sponsorship
LanceSoft Inc., has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (55)
2024 (32)
2023 (23)
2022 (25)
2021 (60)
2020 (80)
Funding
Current Stage
Late StageCompany data provided by crunchbase