Cheminformatics Data Scientist
Q1 Technologies, Inc
**
Aurora, Illinois
Basic
Posted about 10 hours ago
JD : Cheminformatics Software Engineer / Cheminformatics Data Scientist (commonly titled Cheminformatics Engineer or Scientific Software Engineer - Chemistry)
Core Focus: Bridge organic chemistry and software engineering by curating chemical structure data, building automated Python pipelines, and developing cheminformatics workflows for drug discovery and AI/ML initiatives.
Key Workstreams:
Core Focus: Bridge organic chemistry and software engineering by curating chemical structure data, building automated Python pipelines, and developing cheminformatics workflows for drug discovery and AI/ML initiatives.
Key Workstreams:
- Perform data curation, standardization (tautomers, stereochemistry, salts), and quality control for chemical datasets and compound registration systems.
- Design and develop Python applications, APIs, and scalable data pipelines using tools like RDKit or ChemAxon.
- Compute molecular properties, perform substructure/similarity searches, and prepare feature datasets for predictive modeling
- Cross-Boundary Collaboration: Partner closely with medicinal chemists, data scientists, and informatics teams to translate complex scientific requirements into reliable technical solutions.
- Requirements: Master's degree or PhD in Chemistry, Cheminformatics, Computational Chemistry, or Computer Science (with strong chemistry background); professional experience in Python development and cheminformatics toolkits (RDKit, etc.).
Data Scientist
Tekfortune Inc.
**
Alexandria, Virginia
Basic
Posted about 10 hours ago
Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world s leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you.
Title: Data Scientist
Location: Mark Center Dr., Alexandria, VA 22311
Clearance Requirement: Active Secret OR Top-Secret Clerance
Duration: 6-Month Contract-to-Hire
A leading government contractor is seeking a Data Scientist to support a mission-focused federal program operating at the intersection of national security, intelligence, and emerging technology. The Data Scientist will develop advanced analytical models, artificial intelligence (AI) capabilities, and machine learning (ML) solutions that transform large volumes of operational and mission data into predictive insights and decision-support products. This role requires expertise in statistical modeling, predictive analytics, data science methodologies, and AI-enabled technologies supporting operational planning, mission assessments, capability development, and strategic decision-making.
Key Responsibilities
Education & Experience: MA/MS with 10+ years experience; BA/BS with 15+ years; AA/AS with 17+ years; or HS/GED with 19+ years. Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges.
Technical Skills:
Professional Skills:
Preferred Qualifications
For more information and other jobs available please contact our recruitment team at (url removed) . To view all the jobs available in the USA and Asia please visit our website at (url removed) .
Title: Data Scientist
Location: Mark Center Dr., Alexandria, VA 22311
Clearance Requirement: Active Secret OR Top-Secret Clerance
Duration: 6-Month Contract-to-Hire
- Top Must-Haves:
- Python
- Data Pipelines / ETL
- Data Wrangling & Data Integration
- AI / Machine Learning
- Power BI & Dashboard Development
A leading government contractor is seeking a Data Scientist to support a mission-focused federal program operating at the intersection of national security, intelligence, and emerging technology. The Data Scientist will develop advanced analytical models, artificial intelligence (AI) capabilities, and machine learning (ML) solutions that transform large volumes of operational and mission data into predictive insights and decision-support products. This role requires expertise in statistical modeling, predictive analytics, data science methodologies, and AI-enabled technologies supporting operational planning, mission assessments, capability development, and strategic decision-making.
Key Responsibilities
- Develop, implement, and maintain advanced statistical models, machine learning algorithms, and AI-enabled analytical solutions supporting operational decision-making.
- Utilize Maven Smart System (Client), Palantir, Power BI, Python, and AI-enabled analytical platforms to develop predictive models and mission decision-support capabilities.
- Analyze large volumes of structured and unstructured operational, intelligence, and enterprise data to identify trends, anomalies, correlations, and predictive indicators.
- Design and develop predictive analytics, forecasting models, classification algorithms, and optimization techniques to support operational planning and resource allocation.
- Leverage artificial intelligence, machine learning, and data science methodologies to automate information extraction, target identification, threat analysis, and operational assessments.
- Develop dashboards, analytical visualizations, predictive data products, and executive decision-support tools that effectively communicate complex analytical findings.
- Collaborate with Data Engineers, Data Analysts, software developers, operators, intelligence analysts, and mission stakeholders to develop integrated analytical solutions supporting mission objectives.
- Develop analytical frameworks and quantitative models to evaluate system performance, operational effectiveness, capability gaps, technology maturity, and acquisition priorities.
- Support operational experimentation, technology demonstrations, capability evaluations, and acquisition efforts through advanced modeling and data-driven analysis.
- Produce technical documentation, model documentation, analytical reports, executive briefings, and recommendations supporting senior leadership.
Education & Experience: MA/MS with 10+ years experience; BA/BS with 15+ years; AA/AS with 17+ years; or HS/GED with 19+ years. Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges.
Technical Skills:
- Experience utilizing Maven Smart System (Client), Palantir, or similar enterprise analytics and data integration platforms.
- Advanced proficiency with Python for data science, statistical analysis, machine learning, automation, and model development.
- Experience developing predictive models, statistical analyses, machine learning algorithms, or artificial intelligence applications.
- Experience utilizing Power BI or similar business intelligence platforms to develop advanced dashboards and analytical visualizations.
- Strong understanding of supervised and unsupervised machine learning techniques, statistical modeling, predictive analytics, and data mining methodologies.
- Experience collecting, organizing, cleansing, validating, and exploiting structured and unstructured datasets from multiple operational and intelligence sources.
- Experience leveraging AI-enabled tools, large language models (LLMs), or advanced analytics platforms to support operational decision-making.
- Strong proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, and executive briefings.
Professional Skills:
- Ability to communicate complex analytical concepts and model outputs to senior leadership in a clear and actionable manner.
- Proven ability to collaborate across multidisciplinary technical and operational teams.
- Experience with doctrine, policy, analysis, or coordination within a large government organization.
Preferred Qualifications
- Experience supporting defense, intelligence, or homeland security organizations.
- Experience in the counter-system or counter-threat mission space, particularly involving unmanned or improvised systems.
- Familiarity with intelligence data sources, sensor fusion, geospatial intelligence, operational data feeds, and mission command systems.
- Experience developing AI-enabled capabilities for object detection, pattern recognition, anomaly detection, or threat forecasting.
- Experience with cloud-based AI/ML environments, distributed computing, MLOps, model lifecycle management, and enterprise data governance.
- Experience supporting operational research, capability development, technology evaluations, or acquisition decision-making within defense organizations.
- Backgrounds in surface warfare, aviation, maritime defense, or installation defense are considered transferable.
For more information and other jobs available please contact our recruitment team at (url removed) . To view all the jobs available in the USA and Asia please visit our website at (url removed) .
Data Scientist
Spark Tek Inc
**
Owings Mills, Maryland
Basic
Posted about 10 hours ago
Responsibilities:
- 4+ years of experience in AI/ML engineering, applied data science, or related roles.
- Strong proficiency in Python and SQL.
- Solid foundation in machine learning (classification, anomaly detection, model evaluation).
- Hands-on experience with AI systems,
- Experience building and deploying APIs/services (FastAPI or similar).
- Familiarity with containerization (Docker) and CI/CD.
- Experience working in cloud environments (Azure)
- Strong communication skills and comfort working in product-facing and enablement roles.
- Experience building internal platforms, shared services, or enablement frameworks.
- Exposure to M365 Copilot extensibility or enterprise productivity tooling.
- Familiarity with ML/LLMOps tools (model registries, experiment tracking, prompt/version management).
- Knowledge of Responsible AI, governance, and enterprise data privacy practices.
- Experience in regulated industries (insurance, auto warranty, financial services).
Senior Data Scientist
Expert In Recruitment Solutions
**
Rosemont, Illinois
Basic
Posted about 10 hours ago
Senior Data Scientist
Duration: Long-Term Contract
100 % remote
Local to Chicago very much preferred
Interview Process: Video Interview Required
Must have:
Claims Analytics
Insurance Risk Modeling
Incident Prediction
Fraud Analytics
Severity Modeling
Explainable AI (SHAP, LIME, etc.)
Hospitality Industry Analytics
Travel Industry Analytics
Data Governance
PII Handling
Data Architecture
Databricks
Snowflake Natural Language Processing o Text Classification
o NLP Pipelines
o LLM Applications
o Claims / Incident Narrative Analysis Operations Research & Optimization Develop optimization solutions utilizing:
Linear Programming (LP)
Integer Programming (IP)
Mixed Integer Programming (MIP)
CPLEX
Gurobi
Apply mathematical optimization techniques to business and operational challenges
Support resource allocation and decision optimization initiatives Data Science & Advanced Analytics Develop predictive analytics and statistical modeling solutions
Build record-linkage and entity-resolution models where unique identifiers do not exist
Support large-scale data analysis across enterprise datasets
Work with structured, semi-structured, and unstructured data sources
5+ years of Data Science, Machine Learning, Operations Research, or related experience
o 2+ years may be acceptable with a relevant PhD
Proven experience building production-grade machine learning solutions
Strong experience with predictive analytics and risk modeling
Experience deploying models into enterprise environments
Experience working with large datasets and scalable architectures
Agile delivery experience Programming & Data Technologies Python
SQL
Spark Position Overview Hyatt is seeking a Senior Data Scientist to lead the development of advanced Machine Learning, Natural Language Processing (NLP), Artificial Intelligence, and Operations Research solutions supporting enterprise Risk Management, Claims Analytics, Incident Mitigation, and business optimization initiatives.
This role will partner closely with Risk Management, Legal, Data Engineering, Data Governance, BI, and MLOps teams to design, deploy, and optimize predictive and optimization models that directly impact business outcomes.
This is not a reporting-focused or dashboard-oriented Data Scientist role.
Hyatt is specifically looking for a hands-on practitioner capable of building production-grade AI and Machine Learning solutions that can identify high-risk incidents, predict claim severity, optimize business decisions, and deliver explainable insights to business stakeholders.
100 % remote
Local to Chicago very much preferred
Interview Process: Video Interview Required
Must have:
Claims Analytics
Insurance Risk Modeling
Incident Prediction
Fraud Analytics
Severity Modeling
Explainable AI (SHAP, LIME, etc.)
Hospitality Industry Analytics
Travel Industry Analytics
Data Governance
PII Handling
Data Architecture
Databricks
Snowflake Natural Language Processing o Text Classification
o NLP Pipelines
o LLM Applications
o Claims / Incident Narrative Analysis Operations Research & Optimization Develop optimization solutions utilizing:
Linear Programming (LP)
Integer Programming (IP)
Mixed Integer Programming (MIP)
CPLEX
Gurobi
Apply mathematical optimization techniques to business and operational challenges
Support resource allocation and decision optimization initiatives Data Science & Advanced Analytics Develop predictive analytics and statistical modeling solutions
Build record-linkage and entity-resolution models where unique identifiers do not exist
Support large-scale data analysis across enterprise datasets
Work with structured, semi-structured, and unstructured data sources
5+ years of Data Science, Machine Learning, Operations Research, or related experience
o 2+ years may be acceptable with a relevant PhD
Proven experience building production-grade machine learning solutions
Strong experience with predictive analytics and risk modeling
Experience deploying models into enterprise environments
Experience working with large datasets and scalable architectures
Agile delivery experience Programming & Data Technologies Python
SQL
Spark Position Overview Hyatt is seeking a Senior Data Scientist to lead the development of advanced Machine Learning, Natural Language Processing (NLP), Artificial Intelligence, and Operations Research solutions supporting enterprise Risk Management, Claims Analytics, Incident Mitigation, and business optimization initiatives.
This role will partner closely with Risk Management, Legal, Data Engineering, Data Governance, BI, and MLOps teams to design, deploy, and optimize predictive and optimization models that directly impact business outcomes.
This is not a reporting-focused or dashboard-oriented Data Scientist role.
Hyatt is specifically looking for a hands-on practitioner capable of building production-grade AI and Machine Learning solutions that can identify high-risk incidents, predict claim severity, optimize business decisions, and deliver explainable insights to business stakeholders.
Data Scientist
Expert In Recruitment Solutions
**
Rosemont, Illinois
Basic
Posted about 10 hours ago
Title-Data Scientist
Duration: Long-Term Contract
Location- Local to Chicago very much preferred
Interview Process: Video Interview Required
Must have:
· Claims Analytics
· Insurance Risk Modeling
· Incident Prediction
· Fraud Analytics
· Severity Modeling
· Explainable AI (SHAP, LIME, etc.)
· Hospitality Industry Analytics
· Travel Industry Analytics
· Data Governance
· PII Handling
· Data Architecture
· Databricks
· Snowflake · Natural Language Processing o Text Classification
o NLP Pipelines
o LLM Applications
o Claims / Incident Narrative Analysis Operations Research & Optimization Develop optimization solutions utilizing:
· Linear Programming (LP)
· Integer Programming (IP)
· Mixed Integer Programming (MIP)
· CPLEX
· Gurobi
· Apply mathematical optimization techniques to business and operational challenges
· Support resource allocation and decision optimization initiatives Data Science & Advanced Analytics · Develop predictive analytics and statistical modeling solutions
· Build record-linkage and entity-resolution models where unique identifiers do not exist
· Support large-scale data analysis across enterprise datasets
· Work with structured, semi-structured, and unstructured data sources
· 5+ years of Data Science, Machine Learning, Operations Research, or related experience
o 2+ years may be acceptable with a relevant PhD
· Proven experience building production-grade machine learning solutions
· Strong experience with predictive analytics and risk modeling
· Experience deploying models into enterprise environments
· Experience working with large datasets and scalable architectures
· Agile delivery experience Programming & Data Technologies · Python
· SQL
· Spark Position Overview Hyatt is seeking a Senior Data Scientist to lead the development of advanced Machine Learning, Natural Language Processing (NLP), Artificial Intelligence, and Operations Research solutions supporting enterprise Risk Management, Claims Analytics, Incident Mitigation, and business optimization initiatives.
This role will partner closely with Risk Management, Legal, Data Engineering, Data Governance, BI, and MLOps teams to design, deploy, and optimize predictive and optimization models that directly impact business outcomes.
This is not a reporting-focused or dashboard-oriented Data Scientist role.
Hyatt is specifically looking for a hands-on practitioner capable of building production-grade AI and Machine Learning solutions that can identify high-risk incidents, predict claim severity, optimize business decisions, and deliver explainable insights to business stakeholders. What Hyatt Actually Needs Hyatt is not looking for a generic Data Scientist.
They are hiring a:
AI & Risk Analytics Specialist who can build production-ready machine learning, NLP, and optimization models that help Hyatt predict, prioritize, and mitigate risk before incidents become costly claims.
The primary mission of this role is to:
· Predict which incidents are most likely to become claims
· Forecast claim severity and financial exposure
· Analyze unstructured incident and claims narratives using NLP and LLM technologies
· Develop explainable AI solutions that business stakeholders can trust
· Apply Operations Research techniques to optimize business decisions and resource allocation
· Deliver scalable production models that integrate into enterprise workflows
This role sits at the intersection of:
Risk Analytics + AI/ML + NLP + Operations Research + Business Optimization Core Responsibilities Machine Learning & Predictive Modeling · Design, develop, deploy, and optimize machine learning models
· Build incident prioritization and claim severity prediction models
· Develop risk-scoring frameworks for proactive risk identification
· Perform feature engineering across structured and unstructured datasets
· Monitor model performance, drift, retraining requirements, and scoring quality Natural Language Processing (NLP) & AI · Develop NLP solutions for claims and incident narrative analysis
· Build text classification and language-processing pipelines
· Leverage Large Language Models (LLMs) to extract business insights
· Generate explainable AI outputs and risk-driver analysis
· Apply AI techniques to improve operational decision-making Data Science & Advanced Analytics · Develop predictive analytics and statistical modeling solutions
· Build record-linkage and entity-resolution models where unique identifiers do not exist
· Support large-scale data analysis across enterprise datasets
· Work with structured, semi-structured, and unstructured data sources Cross-Functional Collaboration · Partner with Risk Management, Legal, Data Engineering, Data Governance, BI, and MLOps teams
· Translate business requirements into technical solutions
· Present findings and recommendations to technical and executive stakeholders
· Mentor junior Data Scientists and contribute to team best practices Documentation & Governance · Create documentation covering methodology, assumptions, validation approaches, and limitations
· Support model governance and explainability requirements
· Ensure compliance with data governance, privacy, and security standards Machine Learning Frameworks · Scikit-Learn
· XGBoost
· TensorFlow
· PyTorch
· MXNet
· LLM Frameworks Cloud Platforms · AWS
· Azure
· GCP DevOps & MLOps · CI/CD
· MLOps Frameworks
· Model Deployment & Monitoring Education Required:
· Master's Degree in:
o Computer Science
o Statistics
o Industrial Engineering
o Operations Research
o Related Technical Field
Preferred:
· PhD in a relevant discipline Ideal Candidate Profile The strongest candidates will demonstrate:
· Deep Operations Research expertise
· Strong AI/ML engineering capabilities
· Hands-on NLP and LLM experience
· Experience building production machine learning systems
· Claims, risk, or incident analytics experience
· Ability to communicate complex analytical findings to business stakeholders
· Strong understanding of model explainability and governance
· Experience deploying scalable enterprise AI solutions
This role is best suited for a senior-level Data Scientist who can move beyond experimentation and deliver measurable business value through production-ready AI, NLP, and optimization solutions.
Data Scientist
Talent Software Services, Inc.
**
Philadelphia, Pennsylvania
Basic
Posted 1 day ago
About the job you're considering
We seek a highly skilled Data Scientist located in Philadelphia, PA to lead the implementation of algorithmic decision-making at scale within Group Digital. This role will center on crafting and implementing machine learning models, neural networks, and supporting MLOps practices to enhance personalization and automation within our digital products. The chance to work on innovative AI methods and technologies makes this role exceptionally exceptional and thrilling! You will collaborate with data engineers, product teams, and business partners to develop scalable data pipelines, CI/CD workflows, and ETL processes. The preferred candidate will have expertise in retail, personalization web technologies, GCP, and groundbreaking AI techniques, such as Large Language Models (LLMs), Generative AI, and Knowledge Graphs, preferably experience with Neo4j.
Your Role:
Your skills and experience
Please add the below to the comment section:
Legal Name:
Current Location: (City, State & Zip Code):
Home location:
Relocate:
Bill Rate:
CTH After 3 Months:
Travelling Availability:
Availability to Start:
Phone/Mobile Number:
Email Address:
Visa Type:
Visa Expiration Date:
Hiring Status:
Are you working directly with the contractor's visa holder:
If not indicate # of layers and names of the company:
Indicate if the Candidate has worked in CG before and where:
Ex-*** Employee:
LinkedIn Account: (If available)
Vendor Point of Contact for Interview Scheduling:
Contractor approved to share its resume to client:
We seek a highly skilled Data Scientist located in Philadelphia, PA to lead the implementation of algorithmic decision-making at scale within Group Digital. This role will center on crafting and implementing machine learning models, neural networks, and supporting MLOps practices to enhance personalization and automation within our digital products. The chance to work on innovative AI methods and technologies makes this role exceptionally exceptional and thrilling! You will collaborate with data engineers, product teams, and business partners to develop scalable data pipelines, CI/CD workflows, and ETL processes. The preferred candidate will have expertise in retail, personalization web technologies, GCP, and groundbreaking AI techniques, such as Large Language Models (LLMs), Generative AI, and Knowledge Graphs, preferably experience with Neo4j.
Your Role:
- We develop and optimize predictive and prescriptive models to extract insights and improve decision-making.
- Clearly communicate complex methodologies, results, and business insights to both technical and non-technical audiences.
- Apply deep learning and neural network techniques for customer classification, profiling, customer segmentation, and personalization!
- Apply MLOps to efficiently deploy, monitor, and maintain ML models in production.
- Implement and fine-tune Large Language Models (LLMs) and Generative AI solutions for automation and user engagement.
- We explore and integrate knowledge graphs to enhance data relationships and improve recommendations.
- We work with data engineers to craft and develop robust data pipelines for large-scale ETL processing using SQL and cloud-based solutions (GCP preferred).
- Write complex SQL queries for extracting, transforming, and loading (ETL) data efficiently.
- Implement CI/CD workflows to automate model training, deployment, and monitoring.
- Work in an Agile/DevOps environment, collaborating with cross-functional teams to drive data-driven innovation.
- We promote a data-centric culture by educating teams on the strategic importance of AI and analytics.
Your skills and experience
- 7-10 years of proven experience in Data Science, Machine Learning, or related fields.
- Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
- Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring.
- Proficiency in Google Cloud Platform (GCP), AWS, and scalable data engineering.
- Strong understanding of probability theory, statistics, and experimental design (A/B Testing).
- Experience with collaborative software engineering practices (Agile, DevOps).
- Experience with Knowledge Graphs (including the Neo4j tool) and their integration into AI/ML pipelines.
- Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies.
- Background in Retail and Personalization Web Technologies.
- Proficiency in business intelligence (BI) tools and data visualization.
- Bachelor's degree or equivalent experience in Computer Science, Mathematics, Engineering, or related field.
Please add the below to the comment section:
Legal Name:
Current Location: (City, State & Zip Code):
Home location:
Relocate:
Bill Rate:
CTH After 3 Months:
Travelling Availability:
Availability to Start:
Phone/Mobile Number:
Email Address:
Visa Type:
Visa Expiration Date:
Hiring Status:
Are you working directly with the contractor's visa holder:
If not indicate # of layers and names of the company:
Indicate if the Candidate has worked in CG before and where:
Ex-*** Employee:
LinkedIn Account: (If available)
Vendor Point of Contact for Interview Scheduling:
Contractor approved to share its resume to client:
Data Scientist 3
eTeam Inc.
**
Morton, Illinois
Basic
Posted 1 day ago
Job Location: Data Scientist 3
Location: Morton, IL 60537,Dallas,75039
Duration: 6 months
Position s Contributions to Work Group:
- As AI continues to evolve, there is a need to quickly learn new technology and build AI Agents and use them to create alerts & automate workflows. Most of the company s structured data resides in Snowflake. We are looking for an expert who has experience building AI Agents in Dataiku & Snowflake and using Dataiku recipes & Python for workflow automation
Reason/motivation for request:
- Backfill
Why this Role?
-
We are using AI to identify disruptions in the supply chain and take corrective action to avoid backorders on parts. This position will hit the ground running in creating AI Agents to solve this use case. We also need to upskill the current team in the latest Dataiku Agentic AI technology. This position will share their knowledge and teach this new technology to team members. The position will focus on strengthening our capabilities in agent architecture, orchestration, security, integrations, evaluation, and operationalization, while establishing best practices that can be reused across multiple AI programs and use cases.
Typical task breakdown:
- Understand the objective
- Write code in Snowflake & Dataiku to build AI Agents
- Test output and update code
Interaction with team:
- Daily standup meetings
Team Structure
- Work on a project with 3 other people (includes project leader)
Work environment:
- Office
Education & Experience Required:
- Years of experience: 5-7years
- Degree requirement: Bachelors in AI, Data Science, Computer Science
- Do you accept internships as job experience: Yes
- Are there past or additional job titles or roles that would provide comparable background to this role: No
Top 3 Skills
- Built agents in Dataiku & Snowflake Cortex (critical) - structured data
- Workflow automation in Dataiku recipes & Python (write programming logic)
- Experience with LangGraph, Langchain, CrewAI
Additional Technical Skills
(Required)
- Multi-agent architecture and orchestration patterns
o Agent collaboration, planning, delegation, and workflow orchestration
o Reusable agent frameworks and reference architectures
- Security, access control, and governance
o Role-based access control (RBAC), personas, authorization models, and guardrails
o Auditability, and compliance considerations
- Enterprise integrations and data access patterns
o Integration with Microsoft Teams, SharePoint, email, PDFs, and enterprise data sources
o Event-driven and batch processing architectures
o API and workflow integration best practices
- Agent evaluation, testing, and observability
o Offline and online evaluation methodologies
o Groundedness, relevance, hallucination detection, and task-success measurement
o Automated regression testing, monitoring, observability, and performance tracking
- Prompt engineering and agent design patterns
o Prompt optimization techniques, reusable prompts, skills, tools, and agent design frameworks
- Human-in-the-loop workflows
o Approval processes for high-impact business decisions
o Escalation paths, feedback loops, and continuous improvement mechanisms
- Dataiku application development and user experience
o Dataiku WebApps, user experience design, and production-ready front-end development
o Best practices for enterprise adoption and usability
- Deployment, operationalization, and scalability
o Deployment automation, monitoring, and governance
- Cost and performance optimization
o LLM selection and deployment strategies
o Latency, token consumption, and operational cost management
o Performance tuning and optimization best practices
(Desired)
- ClientP experience in multi-agent system to coordinate communication across agents (Agent to Agent)
Soft Skills
(Required)
- Team player
(Desired)
- Good communication skills
Location: Morton, IL 60537,Dallas,75039
Duration: 6 months
Position s Contributions to Work Group:
- As AI continues to evolve, there is a need to quickly learn new technology and build AI Agents and use them to create alerts & automate workflows. Most of the company s structured data resides in Snowflake. We are looking for an expert who has experience building AI Agents in Dataiku & Snowflake and using Dataiku recipes & Python for workflow automation
Reason/motivation for request:
- Backfill
Why this Role?
-
We are using AI to identify disruptions in the supply chain and take corrective action to avoid backorders on parts. This position will hit the ground running in creating AI Agents to solve this use case. We also need to upskill the current team in the latest Dataiku Agentic AI technology. This position will share their knowledge and teach this new technology to team members. The position will focus on strengthening our capabilities in agent architecture, orchestration, security, integrations, evaluation, and operationalization, while establishing best practices that can be reused across multiple AI programs and use cases.
Typical task breakdown:
- Understand the objective
- Write code in Snowflake & Dataiku to build AI Agents
- Test output and update code
Interaction with team:
- Daily standup meetings
Team Structure
- Work on a project with 3 other people (includes project leader)
Work environment:
- Office
Education & Experience Required:
- Years of experience: 5-7years
- Degree requirement: Bachelors in AI, Data Science, Computer Science
- Do you accept internships as job experience: Yes
- Are there past or additional job titles or roles that would provide comparable background to this role: No
Top 3 Skills
- Built agents in Dataiku & Snowflake Cortex (critical) - structured data
- Workflow automation in Dataiku recipes & Python (write programming logic)
- Experience with LangGraph, Langchain, CrewAI
Additional Technical Skills
(Required)
- Multi-agent architecture and orchestration patterns
o Agent collaboration, planning, delegation, and workflow orchestration
o Reusable agent frameworks and reference architectures
- Security, access control, and governance
o Role-based access control (RBAC), personas, authorization models, and guardrails
o Auditability, and compliance considerations
- Enterprise integrations and data access patterns
o Integration with Microsoft Teams, SharePoint, email, PDFs, and enterprise data sources
o Event-driven and batch processing architectures
o API and workflow integration best practices
- Agent evaluation, testing, and observability
o Offline and online evaluation methodologies
o Groundedness, relevance, hallucination detection, and task-success measurement
o Automated regression testing, monitoring, observability, and performance tracking
- Prompt engineering and agent design patterns
o Prompt optimization techniques, reusable prompts, skills, tools, and agent design frameworks
- Human-in-the-loop workflows
o Approval processes for high-impact business decisions
o Escalation paths, feedback loops, and continuous improvement mechanisms
- Dataiku application development and user experience
o Dataiku WebApps, user experience design, and production-ready front-end development
o Best practices for enterprise adoption and usability
- Deployment, operationalization, and scalability
o Deployment automation, monitoring, and governance
- Cost and performance optimization
o LLM selection and deployment strategies
o Latency, token consumption, and operational cost management
o Performance tuning and optimization best practices
(Desired)
- ClientP experience in multi-agent system to coordinate communication across agents (Agent to Agent)
Soft Skills
(Required)
- Team player
(Desired)
- Good communication skills
Senior Data Scientist
Expert In Recruitment Solutions
**
Woodlawn, Maryland
Basic
Posted 1 day ago
JOB TITLE: Senior Data Scientist
EMPLOYMENT TYPE: Long term Contract; Any candidate has worked and lived in the USA for 3 years. Will need to obtain Public Trust.
LOCATION DETAILS: Woodlawn, MD (5 days per week onsite)
Onsite Interview after 1st round of video.
Feedback within 24 hours of submittal
ABOUT THE ROLE:
- NLP, Entity Resolution & Text Processing
- Python Engineering & Data Pipeline Development
- Advanced SQL & Large-Scale Data Management
- Need Excellent communication skills
Description:
Senior Data Scientist Key Required Skills
- Strong practical experience with Natural Language Processing (NLP), Text Processing, and Information Extraction concepts including Named Entity Recognition, Blocking and Indexing, String Distance Metrics, TF-IDF/Cosine Similarity, Phonetics Encoding, Address Standardization
- Solid Python, Regex, and SQL experience
- Excellent Communication skills
- Develop Analytics Solutions: Design, implement, and maintain advanced data processing and entity resolution pipelines using Python and SQL on enterprise data platforms.
- Data Hygiene & Management: Clean, transform, and manage large-scale datasets from diverse, complex sources, ensuring absolute data integrity, reliability, and security.
- Performance Optimization: Optimize complex SQL queries and database operations to ensure efficient data access, processing, and scalability.
- Engineering Standards: Actively participate in code reviews, enforce version control, and uphold best practices for code quality, reproducibility, and data privacy.
- End-to-End Delivery: Support data validation, testing, deployment, and post-implementation monitoring in a fast-paced environment.
- Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with experience in NLP, Text Processing, Information Extraction, Python, SQL, Regex and specialized libraries/frameworks.
- Overall 10+ years' experience in IT industry
**Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week**
**Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years in lieu of a degree**
- Strong practical experience with Natural Language Processing (NLP), Text Processing, and Information Extraction including:
- Practical knowledge of Named Entity Recognition and Address Standardization to extract and clean unstructured text data.
- Deep understanding of data matching strategies, including Blocking and Indexing, String Distance Metrics, and Phonetic Encoding.
- Experience applying TD-IDF and Cosine Similarity for text comparisons and information retrieval.
- Strong Python development skills for building analytics solutions and manipulating data.
- Advanced SQL proficiency for complex data querying, optimization, and database operations.
- Practical experience using Regex for advanced text processing, data cleansing, and pattern matching.
- Familiarity with specialized libraries and frameworks including:
- Linkage libraries such as Splink / FastLink, Dedupe, or recordlinkage
- Core Python data science libraries, specifically spaCy for NLP tasks and Scikit-Learn for general machine learning and clustering
- Familiarity with code reviews, version control, and maintaining data security and reproducibility standards.
- Excellent communication skills.
- Prior experience delivering IT or data initiatives within federal, state, or local government environments
- Proven ability to operate independently, take ownership of data pipeline architectures, and drive projects from data discovery through to post-implementation.
- Experience retrieving, migrating, and manipulating data from legacy and distributed systems, including PostgreSQL, DB2, Oracle, SQL Server, and Hadoop, as well as unstructured flat files.
- Experience utilizing Jenkins to automate continuous integration, testing, and deployment (CI/CD) for data validation pipelines.
- Experience with pipeline automation tools to schedule and monitor complex data cleansing jobs.
- Strong ability to translate complex algorithmic decisions (such as probabilistic match thresholds) into clear business logic for executive leadership and non-technical stakeholders.
- Excellent problem-solving skills and proven verbal/written communication skills when collaborating across cross-functional teams.