Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a highly skilled and experienced Senior Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.
Responsibilities:
Requirements
8 - 10 years of professional work experience with at least 5 years in Data Science Proficiency in Python and SQLPractical exposure to Banking/ Retail , supply chain domain problems such as logistics, distribution networks, or demand planning. Experience with MLflow , NLP and model lifecycle management Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applicationsExperience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.)Experience with Bedrock, JumpStart, HuggingFaceExperience evaluating ethical implications of AI and controlling for them (e.g., red-teaming)Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learningExperience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.)Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processesExperience building end-to-end ML pipelines in production Familiarity with CI/CD pipelines, monitoring, and model governance Ability to design scalable and reliable AI systems Bachelor's in Business Analytics or equivalent work experience.Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Read LessTiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a highly skilled and experienced Senior Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.
Responsibilities:
Requirements
8 - 10 years of professional work experience with at least 5 years in Data Science Proficiency in Python and SQLPractical exposure to Banking/ Retail , supply chain domain problems such as logistics, distribution networks, or demand planning. Experience with MLflow , NLP and model lifecycle management Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applicationsExperience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.)Experience with Bedrock, JumpStart, HuggingFaceExperience evaluating ethical implications of AI and controlling for them (e.g., red-teaming)Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learningExperience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.)Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processesExperience building end-to-end ML pipelines in production Familiarity with CI/CD pipelines, monitoring, and model governance Ability to design scalable and reliable AI systems Bachelor's in Business Analytics or equivalent work experience.Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Read LessTiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a Senior Data Scientist – Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.
You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.
Key Responsibilities
Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM Develop hierarchical and multi-level forecasting solutions across products, regions, and channels Perform large-scale data extraction, transformation, and analysis using SQLPartner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.Translate business problems into analytical solutions.Present model insights and recommendations to senior client stakeholders.Lead workshops and forecasting strategy discussions with clients. Implement and operationalize models in cloud environments Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutionsRequirements
10+ years of experience in applied data science or advanced analytics 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting Strong domain experience in CPG, FMCG, retail, or similar industries Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels) Strong SQL skills for large-scale data processing Proven experience deploying models in cloud environments (Azure preferred)Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Read LessTiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a Senior Data Scientist – Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.
You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.
Key Responsibilities
Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM Develop hierarchical and multi-level forecasting solutions across products, regions, and channels Perform large-scale data extraction, transformation, and analysis using SQLPartner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.Translate business problems into analytical solutions.Present model insights and recommendations to senior client stakeholders.Lead workshops and forecasting strategy discussions with clients. Implement and operationalize models in cloud environments Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutionsRequirements
10+ years of experience in applied data science or advanced analytics 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting Strong domain experience in CPG, FMCG, retail, or similar industries Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels) Strong SQL skills for large-scale data processing Proven experience deploying models in cloud environments (Azure preferred)Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Read LessTiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.
RESPONSIBILITIES:
Work on the latest applications of data science to solve business problems in Pharma and Lifescience domainWork directly with client stakeholders to translate business problems into high-level analytics solution designsKnowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisionsProficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etcYou will be responsible for account management, client relationships, and account growthYou will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business valueExperience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.Experience working with all levels of management and consulting with key business stakeholders.Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business valueResponsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solutionYou will explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth. You will be responsible for P&L for your account portfolios managing revenue and margin goalsRequirements
10-16 years of professional work experience with at least 9 years in data analyticsAbility to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approachExperience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantageSolid understanding of statistical and machine learning algorithmsStrong knowledge of Lifescience and Pharma domainStrong project management and team management skills and ability to work with global teamsStrong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or TableauExposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plusAbility to work with IT and Data Engineering teams to help embed analytic outputs in business processesGraduate in Business Analytics or MBA or equivalent work experienceBenefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law
Read LessTiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are seeking an experienced Lead - MDM to join a managed engagement, specifically focused on Master Data Management (MDM) initiatives. This role requires a Subject Matter Expert who possesses deep domain knowledge in the Medical Devices or Pharmaceutical industry and a proven track record of successfully navigating and delivering MDM projects.
RESPONSIBILITIES:
Requirement Analysis & Documentation: Translate complex business needs into detailed functional specifications for Master Data Management (MDM) solutions, ensuring alignment with organizational goals.Domain Expertise Application: Leverage deep subject matter expertise in the Medical Devices and Pharmaceutical industries to guide MDM strategy, process design, and data modeling.Data Governance & Quality: Define and enforce data standards, business rules, and quality metrics to ensure master data integrity across the enterprise.Stakeholder Liaison: Act as the primary bridge between business stakeholders and technical/IT implementation teams, facilitating clear communication and requirement validation.Process Optimization: Analyze current state data processes and design improved workflows for data creation, maintenance, and distribution.Regulatory Compliance: Ensure MDM processes and data handling practices adhere to industry-specific regulatory requirements pertinent to the Medical Devices and Pharma sectors.Project Delivery Support: Collaborate effectively within a managed engagement environment, supporting a cross-functional team of 10+ members to deliver MDM project milestones.Data Profiling & Gap Analysis: Conduct thorough data profiling to identify inconsistencies, duplicates, or quality issues and propose actionable remediation strategies.Leverage deep understanding of Life Sciences data ecosystems, including Veeva, IQVIA (PlanTrak, LAAD, PE, Xponent), and Real-World Data sources such as TriNetX, Flatiron, Optum, and Komodo. Lead and oversee analytics initiatives involving patient, claims, sales, CRM, market research, and commercial datasets within the Life Sciences domain.Requirements
Experience: Minimum of 10+ years of professional experience.Domain Expertise: Strong domain expertise in Medical Devices or Pharma is required.Technical Focus: Solid, hands-on experience with MDM projects.Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Read LessTiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are seeking an experienced Program Manager with a strong background in Data & Analytics and deep domain expertise in the Pharmaceutical and/or Medical Devices industry. The ideal candidate will have a proven track record of leading large-scale, cross-functional data transformation programs and managing complex multi-vendor delivery environments while partnering with senior business and technology stakeholders.
RESPONSIBILITIES:
Lead end-to-end delivery of large-scale Data & Analytics programs across Pharmaceutical and Medical Devices organizations. Manage complex multi-vendor and multi-partner engagements, ensuring alignment across business, technology, analytics, and operations teams. Serve as the primary liaison between client leadership, business stakeholders, and delivery teams, driving program governance, planning, execution, risk management, and stakeholder communication. Coordinate cross-functional teams including data engineering, analytics, data science, reporting, and business functions to ensure successful program delivery. Track program milestones, dependencies, budgets, resource allocation, and delivery risks to achieve business objectives. Leverage deep understanding of Life Sciences data ecosystems, including Veeva, IQVIA (PlanTrak, LAAD, PE, Xponent), and Real-World Data sources such as TriNetX, Flatiron, Optum, and Komodo. Partner with business stakeholders to translate strategic objectives into analytics roadmaps, data products, and actionable solutions. Present analytics strategies, program updates, and solution recommendations to senior business stakeholders, demonstrating business impact and value realization. Facilitate solution design and delivery discussions across analytics, data science, and engineering teams to ensure alignment with business requirements. Lead and oversee analytics initiatives involving patient, claims, sales, CRM, market research, and commercial datasets within the Life Sciences domain.Requirements
15+ years of experience in Program Management, Project Management, or Delivery Leadership roles.Strong experience managing large-scale Data & Analytics (DnA) programs.Prior experience within Pharmaceutical, Life Sciences, Healthcare, or Medical Devices organisations.Demonstrated success leading complex programs involving multiple vendors, consulting partners, and distributed delivery teams.Strong understanding of data platforms, analytics ecosystems, reporting, and digital transformation initiatives.Experience engaging with senior client stakeholders, including Director, VP, and C-level leadership.Excellent stakeholder management, communication, and executive presentation skills.Proven ability to manage program risks, dependencies, budgets, and timelines in fast-paced environments.PMP, Agile, Scrum, or related certifications are preferred.Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Read LessTiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for someone with a good blend of business consulting skills and a data analytics background to add to our team. Partner directly with the VP of Enterprise Analytics of our client to evaluate performance across our insurance, banking, and wealth management business lines. You will design forward-looking, non-traditional KPIs and recommend the enterprise-wide aggregation frameworks required to unify firm-level strategic decision-making.
Responsibilities:
Can oversee teams including data engineers, data scientists, and business intelligence analystsDefine Advanced Metrics: Collaborate with business unit leaders to isolate operational value drivers and design advanced, behavioral, and leading KPIs that look beyond traditional Wall Street metrics.Architect Aggregation Frameworks: Establish robust enterprise-level data aggregation and normalization frameworks to consolidate disparate business line metrics safely.Enforce Data Governance: Recommend semantic translation layers and data quality loops across legacy systems and modern cloud environments to maintain a single version of truth.Drive Executive Strategy: Translate highly complex, multi-vertical analytical insights into clear, actionable roadmaps for executive and Board-level stakeholders.Requirements
12+ years of quantitative leadership and advisory and management consulting experience (with big brands) spanning banking, insurance, and wealth management sectors.Proven track record in data aggregation frameworks (e.g., BCBS 239 principles)Deep technical literacy in AI/ML analytics techniques and enterprise cloud data environments.Exceptional executive presence with a demonstrated ability to influence cross-functional, enterprise-scale leadership and navigate matrixed regulatory landscapes.Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approaches.A solid understanding of statistical and AI/ML algorithms is a plus.Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Read LessTiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized the value of our business and Tiger Analytics leadership.
We are seeking an experienced Risk Management Professional to support the identification, assessment, monitoring, and mitigation of enterprise risks, with a primary focus on Data Risk and Cyber Risk. This role will work closely with business, technology, compliance, security, and operational teams to ensure risks are effectively managed within the organization's risk appetite and in compliance with regulatory requirements.
The ideal candidate will have a strong understanding of risk management practices within financial services or other highly regulated industries and possess exceptional stakeholder management and communication skills.
Requirements
9-12 years of experience in Enterprise Risk Management, Operational Risk, Technology Risk, Cyber Risk, Data Risk, or a related field.Strong understanding of risk management principles, frameworks, and governance practices.Experience working in financial services, banking, insurance, healthcare, or other highly regulated industries.Knowledge of cyber security, information security controls, data governance, and data privacy concepts.Strong analytical, problem-solving, and critical-thinking skills.Excellent communication, presentation, and stakeholder management abilities.Experience preparing risk reports and presenting findings to senior leadership.Ability to work independently and collaboratively in a fast-paced environment.Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Read LessTiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. The Data Architect will support enterprise data initiatives by designing and delivering scalable, modern data architecture solutions with a primary focus on canonical data modeling, semantic data mesh, and real‑time streaming architectures using Kafka. This role drives alignment across business domains and enables high‑quality, governed, and interoperable data for analytics and operational use cases.
Responsibilities:
Develop and enhance canonical data models, semantic models, and domain‑driven data contracts to enable cross‑enterprise data interoperability.Produce conceptual, logical, and physical data models aligned to business capabilities, modernization goals, and data mesh principles.Design and implement data architecture patterns to support real‑time streaming solutions using Kafka.Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, well‑governed data models.Ensure consistent application of data governance, metadata management, and lineage standards across data domains.Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift, Glue, EMR, Lambda) and Snowflake.Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling.Support enterprise initiatives around real‑time data integration, semantic mesh, and AI/ML enablement through strong data architecture foundations.Requirements
Significant experience with canonical data modeling and enterprise‑wide conceptual/logical/physical modeling. Strong background in semantic modeling and data mesh design principles.Hands‑on experience with Kafka, including event modeling, schema strategy, and real‑time pipeline architecture.Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda, EC2) and Snowflake.Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems.Familiarity with data governance, data quality, metadata, and lineage frameworks.Strong SQL skills and proficiency in at least one programming language (Python preferred).Excellent communication skills with the ability to work across technical and business teams.Hands‑on experience with enterprise data catalog and metadata systems.AWS certification (Solutions Architect, Data Analytics Specialty, etc.)Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy,
national origin, ancestry, marital status, protected veteran status, disability
status, or any other basis as protected by federal, state, or local law.
