Data Science

Data Science Jobs

274 jobs found

9d ago

Senior Data Scientist

Innovaworkforce Juncos, PR

Juncos, PR

9d ago

$58 - $60/hr Full time Python Senior Analytics

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Job Description

Innovaworkforce is seeking a Senior Data Scientist in Juncos, PR onsite, offering USD 58-60 per hour; requires a Doctorate and a minimum of 2 years of experience.

Responsibilities

Lead and develop data science, machine learning, and AI capabilities across Amgens commercial organization.
Head projects and participate in cross-functional teams to systematically derive insights that deliver substantial business value for Amgen.
Take initiative and work independently with minimal supervision.
Identify business needs, perform SWOT analyses, propose analytical approaches, obtain approvals, and execute end-to-end.
Build high-performance algorithms, prototypes, predictive models, and proofs of concept using Python.
Work with SQL and other database query languages.
Lead, collaborate, and communicate cross-functionally with stakeholders to design methodologies that answer specific business questions.
Present analysis ideas, progress, and results to business partners in a clear and impactful manner.
Create compelling stories in PowerPoint and be proficient with MS Office, especially Excel and PowerPoint.
Ensure compliance with regulatory, security, and privacy requirements related to data assets.

Requirements

Manufacturing support experience, with vial filling experience preferred.
Experience deploying or integrating AI solutions into manufacturing or operational environments.
Knowledge of artificial intelligence, software development, and general computer literacy.
Hands-on experience developing AI/ML models for process or task optimization.
Familiarity with Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
Experience using Python, TensorFlow, PyTorch, OpenCV, or similar AI/ML frameworks.
Basic knowledge of statistical analysis using JMP or other statistical software.
Experience generating technical documentation, protocols, reports, and development records.
Knowledge of Good Documentation Practices (GDP), quality systems, and compliance requirements.
Strong project management and problem-solving skills.
Ability to work in cross-functional teams and communicate effectively with technical and non-technical stakeholders.
Quality and compliance oriented mindset with attention to detail.
Computer literacy with proficiency in AI tools and digital technologies.
Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research.
Experience leading projects and end-to-end executions.
Experience with databases including relational, SQL, and Graph.
Programming experience with Python, R, or SAS and familiarity with ML libraries like scikit-learn, MLlib, Keras, TensorFlow, PyTorch, etc.
Ability to write well-abstracted, reusable code in Python, R, or Scala; comfortable navigating a Linux environment.
Detail-oriented technical aptitude with strong logical, problem-solving, and decision-making skills.
Excellent organization and planning skills with the ability to manage many large and complex datasets.
Ability to collaborate with and influence business partners and IS resources to drive analytics end-to-end.
Excellent communication skills to present analysis clearly, precisely, and actionably.
Experience working with large datasets and distributed computing tools (Spark, Hive, etc.).
Passion for learning and staying current with developments in advanced analytics.
Biotech or Pharma experience.

Technologies

Python
TensorFlow
PyTorch
OpenCV
JMP
R
SAS
scikit-learn
MLlib
Keras
Scala
Linux
Spark
Hive
SQL
Graph databases
PowerPoint
Excel

Highly Preferred

Prefer Computer Engineering or Computer Sciences degree
Special courses or certificates in AI models

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9d ago

Senior Data Scientist - Advanced GenAI & Agentic Systems

Tiger Analytics Inc. Malvern, PA

Malvern, PA

9d ago

Full time Senior Agentic Ai Ai Ml

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Job Description

Tiger Analytics Inc. offers significant career development opportunities as the company grows. Join a small, fast-growing, challenging and entrepreneurial environment that emphasizes individual responsibility. This onsite role in Malvern, PA is for a Senior Data Scientist specializing in GenAI and agentic systems to design, develop, and deploy state-of-the-art Generative AI and multi-agent solutions for Investment, Banking, and Financial Services clients, including asset management, wealth management, and contact center operations.

Benefits

Significant career development opportunities exist as the company grows
Opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment with a high degree of individual responsibility

Responsibilities

Apply the latest data science techniques to address business problems
Collaborate directly with client stakeholders to translate business problems into high-level analytics designs
Design, build, and deploy advanced retrieval augmented generation pipelines using semantic chunking, hybrid search with dense plus BM25, and cross-encoder re-ranking models
Develop autonomous multi-agent workflows with ReAct loops, native tool calls, complex state management, and deterministic circuit breakers
Develop parameter-efficient fine-tuning and alignment methods for large language models (PEFT, LoRA, QLoRA, RLHF, DPO)
Translate complex enterprise challenges into scalable AI architectures and technical prototypes
Explain architectural trade-offs and system designs to senior client stakeholders, including RoPE vs ALiBi, MoE routing, and Pre/Post-LN considerations
Lead deep-dive workshops on LLM evaluation and system safety, covering RAG Triad, LLM as a Judge, guardrails, and prompt injection defense
Implement AI models with hands-on coding, knowing when to bypass heavy framework abstractions (for example LangChain or LlamaIndex as needed)
Conduct large-scale data extraction, transformation, and analysis using expert-level SQL and Python
Partner with asset management, wealth management, and banking teams to translate operational requirements into AI architecture designs
Present insights and architectures to senior stakeholders and help drive AI strategy discussions

Requirements

8 to 10 years of professional work experience with at least 5 years in Data Science
Proficiency in Python and SQL
8 to 12 years of hands-on experience in applied Data Science, Machine Learning, and Artificial Intelligence
Strong domain experience in Banking & Financial Services, specifically Asset and Wealth Management; backgrounds in Insurance or Contact Center AI/Analytics are highly considered
Deep theoretical and practical knowledge of NLP foundations, Transformer architectures (Multi-Head Self-Attention, Positional Encodings), and vector space mathematics
Proven hands-on experience building and deploying Agentic AI solutions and managing complex agent state across directional graphs
Expert-level proficiency in Python and SQL; this is a purely hands-on, Individual Contributor role requiring heavy daily coding
Experience configuring and optimizing Vector Databases (e.g., HNSW, IVFFlat indexing)
Location: US-based, Malvern, PA or Dallas, TX preferred

Technologies

Python
SQL
LangChain
LlamaIndex
ReAct loops
RAG pipelines
BM25
Cross-encoder re-ranking models
PEFT
LoRA
QLoRA
RLHF
DPO
RoPE
ALiBi
MoE routing
Pre-LN
Post-LN
HNSW
IVFFlat

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9d ago

Principal Data Analyst - Strategy and Analytics

Capital One McLean, VA

McLean, VA

9d ago

$131k - $150k/yr Full time Analyst Analytics Big Data

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Job Description

A Principal Data Analyst in Strategy and Analytics at Capital One focuses on innovating and delivering data driven solutions across Innovation, Business Intelligence, and Data Management to support strategic decision making.

Responsibilities

Leverage open source and digital tools to extract insights from diverse, large-scale data sources and platforms
Create robust data solutions, tools, and capabilities that enable self service for data consumers
Assess new technologies quickly to advance multiple initiatives
Collaborate with the business to translate needs into tools, techniques, metrics, and dashboards for insights and data visualization
Conduct analyses that yield actionable insights to inform business strategies
Promote data quality practices including metadata, lineage, and clear business definitions
Partner with technology teams to implement security controls and data access governance
Develop tools to monitor and report on data quality

Requirements

Degree in a Science, Technology, Engineering, or Mathematics field
Experience scripting with Python, R, Spark, or SQL
Strong statistical and machine learning background including regression, classification, clustering, and causal inference
Experience with data in multiple forms, including data warehouses/SQL and unstructured data
Experience using and developing with AWS services
Bachelor's in a quantitative field with 5+ years of data analytics experience, or a Master's with 3+ years of data analytics experience, with degree to be completed by the start date
At least 3 years of experience with at least one scripting language
At least 3 years using a business intelligence visualization tool
At least 3 years querying and analyzing data languages and platforms
Master's degree in Science, Technology, Engineering, or Mathematics
4+ years coding in Python, R, Spark, or SQL
4+ years applying process improvement methodologies such as Agile, Lean, or Six Sigma
2+ years using and developing with AWS services
2+ years delivering Data Governance and Data Quality Management practices in the financial services industry

Technologies

Python
R
Spark
SQL
AWS

Location

McLean, VA (onsite)

Salary

USD 131,300 - 149,800 per year

Type

Full-time

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9d ago

Senior Data Scientist, Hockey Operations

The Florida Panthers Fort Lauderdale, FL

Fort Lauderdale, FL

9d ago

Full time Senior Analytics Business Intelligence

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Job Description

The Florida Panthers offer a role for a Senior Data Scientist on the Hockey Operations – Research & Development team in Fort Lauderdale, FL, on site. You will build and deploy models, metrics, and tools to inform decision-making and communicate insights to stakeholders at all levels. This position reports to the Director of Research and Development and contributes to data-driven competitive decision-making.

Benefits

Onsite opportunity in Fort Lauderdale with a data‑driven, collaborative hockey operations culture
Chance to build, deploy, and refine analytical tools, metrics, and models that directly inform decision‑making
Develop and present visualizations and reports that convey key ideas to both technical and non‑technical audiences
Engage with coaches, scouts, and Hockey Operations leadership to discuss projects, priorities, and deliverables
Mentor and support the professional development of junior analysts through feedback and guidance
Collaborate with analysts and engineers to deliver production‑ready data products in a timely manner
Join a learning culture that emphasizes curiosity and ongoing advancement in hockey analytics research

Responsibilities

Build, maintain, and enhance analytical tools, metrics, and models to support Hockey Operations initiatives and decision‑making
Create data visualizations and reports that communicate key findings and recommendations in an accessible way for both technical and non‑technical audiences
Represent R&D in discussions about new projects, priorities, and analytical deliverables with coaches, scouts, and Hockey Operations decision‑makers
Mentor junior analysts, provide feedback, conduct code reviews, and offer guidance as needed
Collaborate with analysts and engineers to ensure production‑ready data products are available to decision‑makers in a timely manner
Continuously evolve the organization’s analytical capabilities and practices to stay at the cutting edge of hockey analytics research

Requirements

Bachelor’s degree in a related technical field required; advanced degree preferred
Minimum 3–5 years of professional experience in an analytical role, ideally within sports or a data‑intensive industry
Prior experience in hockey analytics, sports R&D, or with NHL data sources preferred
Expertise in production‑grade predictive modeling, machine learning, and statistical methods
Working knowledge of cloud computing, storage, and data warehousing platforms
Strong proficiency in SQL and Python for analytical modeling, data manipulation, and pipeline development
Knowledge of hockey analytics, NHL data sources, and modern hockey evaluation concepts; familiarity with multipoint skeletal tracking or spatiotemporal sports data is a plus
Strong communication skills able to deliver findings clearly to Hockey Operations staff
Creative mindset, intellectual curiosity, and a desire to operate in a learning culture

Technologies

SQL
Python

Organization Overview

The Florida Panthers enter their 33rd season in 2026-27 as a premier NHL franchise. Following back‑to‑back Stanley Cup championships in 2024 and 2025, the team has a track record of postseason success. The Panthers operate four facilities in Broward County, Florida, and are led by President of Hockey Operations & General Manager Bill Zito and President of Business Operations Michael White. The organization emphasizes community engagement through programs like Heroes Among Us, which honors veterans at every game, and a Foundation focused on veterans’ affairs and children’s health and education, reflecting a culture of service and learning.

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9d ago

Data Scientist III, Supply Chain Optimization Technologies (SCOT), Inbound Planning Science

Amazon.com Services LLC - A57 Bellevue, WA

Bellevue, WA

9d ago

$159k - $215k/yr Full time Analytics Business Intelligence Data Analysis

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Job Description

A Data Scientist III focused on SCOT inbound planning at Amazon in Bellevue, WA, builds models to optimize inventory placement and product flows across networks to improve customer experience while reducing costs and carbon footprint.

Responsibilities

Design and implement mathematical models to optimize inventory placement and product flows across networks.
Develop statistical and optimization models for supply chain planning under uncertainty.
Manage multiple high impact projects concurrently.
Collaborate with business and technical stakeholders across teams to identify opportunities to optimize the supply chain.
Present data-driven insights and recommendations to diverse senior stakeholders through technical or business briefs.
Utilize large language models to enhance explainability of optimization solutions and drive engagement from global supply chain planners.

Requirements

Experience with statistical modeling, including multinomial logistic regression.
Experience working as a Data Scientist.
Experience with data scripting languages (SQL, Python, R, etc.) or statistical/mathematical software (R, SAS, Matlab).

Technologies

SQL
Python
R
SAS
Matlab
Tableau
Quicksight
Large Language Models (LLMs)

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D and option for Supplemental life plans)
EAP and Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

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9d ago

Sr. Data Scientist

Ledgent Technology Sacramento, CA

Sacramento, CA

9d ago

$55 - $72/hr Full time Senior Analytics Big Data

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Job Description

Ledgent Technology is actively seeking a Senior Data Scientist for an on-site role in Sacramento, California. The position centers on healthcare data modernization, analytics, dashboards, data validation, and EHR modernization, leveraging lakehouse and medallion architectures on AWS. The role offers collaboration with engineering, program leadership, and clinical operations to drive data-driven decision making.

Benefits

Competitive hourly pay ranging between $55.00 and $72.00 per hour, depending on experience and qualifications.

Position Overview

Ledgent Technology's client is seeking an analytical and independent Senior Data Scientist to join the California team. This role supports a significant data modernization effort within a healthcare environment, utilizing lakehouse and medallion architecture on AWS. The ideal candidate will collaborate with engineering, program leadership, and clinical operations to deliver advanced analytics, validate and reconcile complex datasets, and develop dashboards that inform strategic decisions.

Responsibilities

Create and maintain dashboards with Tableau or Power BI to deliver clear, actionable insights.
Develop and optimize complex SQL queries to analyze large-scale datasets.
Assist data ingestion, pipeline development, and performance monitoring within Databricks.
Conduct large-scale data validation and reconciliation across multiple systems.
Examine healthcare or program data to identify trends, anomalies, and opportunities.
Translate complex data structures into understandable insights for business and clinical stakeholders.
Collaborate with cross-functional teams including engineering, program leadership, and clinical operations.
Support data governance efforts to uphold data accuracy and consistency.
Document data flows across systems and understand data lineage.
Provide data-driven recommendations to inform strategic initiatives.
Offer analytics support for EHR modernization initiatives.

Requirements

Strong SQL skills with the ability to write complex queries.
Hands-on experience with Databricks and lakehouse or medallion architecture.
Experience with AWS or similar cloud platforms.
Practical dashboard development experience using Tableau or Power BI.
Experience building and monitoring data pipelines and ingestion processes.
Extensive experience with data validation and reconciliation at scale.
Ability to analyze large, complex datasets and derive meaningful insights.
Excellent communication skills to convey technical findings to non-technical audiences.

Technologies

Tableau
Power BI
SQL
Databricks
Lakehouse architecture
Medallion architecture
AWS

Work Hours

Monday to Friday

Preferred Qualifications

Experience with machine learning concepts or applied modeling.
Exposure to A/B testing or experimentation frameworks.
Experience with RDS or relational database systems.
Familiarity with DevOps practices.
Healthcare, patient data, or EHR experience.

Functional Skills

Strong understanding of data governance principles.
Ability to interpret ambiguous datasets and extract meaningful insights.
Clear understanding of data lineage and system data flows.
Ability to connect analytics to program outcomes and clinical operations.
Strong troubleshooting and data quality validation skills.

Soft Skills

Excellent communication and executive-level presentation skills.
Collaborative and effective across technical and non-technical teams.
Self-sufficient and able to work independently.
Analytical, solution-oriented mindset.
Comfortable working in fast-paced, complex environments.
Adaptable and calm when navigating ambiguity.

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10d ago

Data Scientist II - People Analytics & Insights

Unum Group Chattanooga, TN

Chattanooga, TN

10d ago

$73k - $151k/yr Full time Analytics Artificial Intelligence Data Analysis

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Job Description

Unum Group offers a hybrid, Chattanooga based Data Scientist II role focused on People Analytics and Insights. You will apply AI and machine learning to workforce and talent analytics, partnering with HR business partners, Talent, Operations, IT, Legal, and data leaders to turn challenges into scalable data products and production ready solutions. The position carries a salary range of USD 73,300 to 150,500 per year and requires a bachelor’s degree in a quantitative field.

Benefits

Award-winning culture
Inclusion and diversity as a priority
Performance based incentive plans
Health, Vision, and Dental coverage
Short and Long-Term Disability insurance
Generous paid time off, including time to volunteer
Employer contribution up to 9.5% to 401(k)
Mental health support
Career advancement opportunities
Student loan repayment options
Tuition reimbursement
Flexible work environments
401(k) employer match up to 5% plus 4.5% additional employer contribution

Responsibilities

Design, develop, and deploy AI and machine learning solutions, including applications powered by large language models, to address complex workforce and organizational challenges
Turn unclear HR and business questions into scalable data products, predictive models, and decision-support tools
Build and manage end-to-end data science workflows from data extraction (enterprise data warehouses) to model deployment and monitoring
Collaborate with HR business partners, talent leaders, and executives to deliver actionable insights on internal mobility, skills, performance, and workforce planning
Develop and operationalize advanced analytics using modern AI frameworks such as LLMs, embeddings, and RAG architectures
Create reusable data assets, semantic layers, and metadata frameworks to boost analytics scalability and self-service
Work with data engineering teams to optimize data pipelines, maintain data quality, and enable near real-time analytics
Convey complex analytical findings and AI concepts clearly to non-technical stakeholders to inform strategic decisions
Uphold responsible AI practices, including data privacy, bias mitigation, and ethical use of employee data
Remain current with emerging AI trends and identify opportunities to adopt new technologies within the organization

Requirements

Bachelor’s degree in a quantitative field is required; Master’s degree is preferred
4+ years of professional experience or equivalent relevant work experience preferred
Core Data Science Capabilities: demonstrated proficiency in at least two areas, with competency in others:
- Programming and process automation: experience with file I/O, database integrations, and APIs to build automated analytics pipelines; familiarity with DevOps, automation, data mining, web scraping, or object-oriented software
- Data visualization: expertise in at least one visualization tool and working knowledge of others, including static and dynamic visuals
- Statistics and modeling: strong foundation in statistical inference, regression, machine learning algorithms, feature selection and extraction, and end-to-end ML tasks from problem framing to deployment
- Data extraction, transformation, and loading: advanced SQL skills for joining multiple tables/databases, sourcing data across internal and external sources, and building logical data models
- Core business capabilities: effective communication, experience in financial services, leadership with senior management, and disciplined multi-project prioritization
- Leadership capabilities: ability to mentor others, adapt to change, and lead proof-of-concept work when needed
Preferred characteristics: entrepreneurial self-starter, results-oriented problem-solver, lifelong learner with curiosity