Tiger Analytics Inc.

Design and implement data science solutions, develop machine learning models including generative AI and NLP, and collaborate with cross-functional teams to drive business impact. | 6-10 years of experience in data science or related roles, proficiency in Python and SQL, expertise in NLP and generative AI, strong problem-solving and communication skills. | 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 an experienced Senior Data Scientist with 6-10 years of expertise to join our team. You will leverage advanced data science techniques, generative AI concepts, and NLP expertise to solve complex business problems and drive measurable impact aligned with our leadership's vision. Key Responsibilities Design and implement data science solutions to address business challenges using advanced problem-solving methodologies and statistical techniques. Develop, train, and deploy machine learning models with a focus on generative AI and large language models (LLMs) Work with text and transcription data to build NLP-based solutions that enhance product capabilities and user experience. Partner with cross-functional teams including engineering, product, and business stakeholders to identify process and workflow gaps, analyze root causes using data science techniques, and architect scalable solutions that drive operational efficiency and business value. Stay at the forefront of AI/NLP advancements and evaluate new algorithms for potential business applications Create comprehensive documentation and present findings to stakeholders, ensuring alignment with organizational objectives 6-10 years of professional experience as a Data Scientist or in a closely related role Strong Problem-Solving Skills: Demonstrated ability to approach complex business and technical challenges using data science methodologies and statistical techniques Proficiency in Python and SQL: Hands-on experience in writing production-grade code, data manipulation, and querying large databases Expertise in NLP: Proven experience working with text and transcription data, including preprocessing, feature engineering, and model development Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications Curiosity and Continuous Learning: Passionate about staying current with emerging trends, research papers, and advancements in NLP and AI Strategic Alignment: Ability to understand organizational vision and strategy, translating it into data-driven initiatives that create positive business impact Strong Communication: Ability to articulate complex technical concepts to both technical and non-technical audiences. 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.

Design, develop, and support data engineering solutions using cloud and distributed systems. | Over 6 years of application development experience with Python and SQL, with at least 4 years in cloud, distributed data tools, and data warehousing, plus experience in UNIX/Linux and Agile practices. | Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Tiger Analytics, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Qualifications: 6+ years of experience in application development including Python, SQL 4+ years of experience with Azure cloud 4+ years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ years of experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices 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.

Lead LLM model development and implement GenAI workflows for AML and Risk applications, translating business requirements into scalable solutions. | 5+ years of experience with LLMs, GenAI, and domain expertise in AML or Risk, preferably in banking or financial services. | 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. As a Senior Data Scientist with strong expertise in graph theory and advanced data processing to join our Supply Chain Analytics team. We are seeking a Senior Data Scientist (GenAI) to lead LLM model development for AML/Risk use cases. This role will work closely with business stakeholders to translate AML and risk requirements into scalable GenAI/LLM-based solutions. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Lead LLM model development for AML and Risk applications Design and implement prompting strategies and GenAI workflows for business use cases Partner with business stakeholders to gather requirements and convert them into production-ready code Drive end-to-end GenAI solution delivery in a regulated banking environment Provide technical leadership within a newly formed team 5+ yrs of Strong understanding of LLMs, GenAI, and prompt engineering Proven experience translating business requirements into LLM-driven solutions Mandatory domain experience in AML and/or Risk Experience in banking or financial services Ability to work independently in a fast-paced environment 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.

Lead LLM model development for AML and Risk applications, design prompting strategies, and deliver end-to-end GenAI solutions in a regulated environment. | 5+ years of experience with LLMs, GenAI, and domain expertise in AML or Risk, with the ability to translate business needs into technical solutions. | 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. As a Senior Data Scientist with strong expertise in graph theory and advanced data processing to join our Supply Chain Analytics team. We are seeking a Senior Data Scientist (GenAI) to lead LLM model development for AML/Risk use cases. This role will work closely with business stakeholders to translate AML and risk requirements into scalable GenAI/LLM-based solutions. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Lead LLM model development for AML and Risk applications Design and implement prompting strategies and GenAI workflows for business use cases Partner with business stakeholders to gather requirements and convert them into production-ready code Drive end-to-end GenAI solution delivery in a regulated banking environment Provide technical leadership within a newly formed team 5+ yrs of Strong understanding of LLMs, GenAI, and prompt engineering Proven experience translating business requirements into LLM-driven solutions Mandatory domain experience in AML and/or Risk Experience in banking or financial services Ability to work independently in a fast-paced environment 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.

Designing, building, and maintaining large-scale data pipelines and infrastructure in a cloud environment. | Extensive experience in data engineering, including data pipeline development, cloud platforms, and distributed computing, with at least 8 years of relevant experience. | Tiger Analytics is a 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 several Fortune 100 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 analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable data solutions. Strong problem-solving skills and attention to detail. Preferred Qualifications: 8+ years of experience building and deploying large-scale data processing pipelines in a production environment. Hands-on experience in designing and building data pipelines 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, 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.

Develop and deploy advanced predictive models and data pipelines to support business decision-making. | 7+ years of experience in Data Science, proficiency in Python, PySpark, Databricks, Azure, and experience with ML models and deployment. | 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 Senior / Lead Data Scientist with strong expertise in forecasting, tree-based models, and large-scale data processing. The role requires hands-on experience with PySpark, Databricks, and Azure and the ability to lead end-to-end model development and deployment. Experience with MLOps / DevOps is a strong plus. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Apply advanced data science techniques to identify patterns, inefficiencies, and bottlenecks across logistics and operations. Build scalable data pipelines and analytical models using PySpark for large-scale datasets. Develop predictive and prescriptive models to support decision-making in areas such as demand forecasting, routing, and inventory management. Collaborate with cross-functional teams including operations, product, and engineering to translate business challenges into analytical solutions. Communicate insights and recommendations clearly to stakeholders through data storytelling, visualizations, and presentations. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements 7+ years of professional experience in Data Science, Analytics, or related roles. Design, build, and optimize forecasting models (time series, demand forecasting, predictive analytics). Strong programming skills in Python with demonstrated use of scientific computing libraries (NumPy, Pandas, SciPy, scikit-learn, etc.). Experience with PySpark for large-scale data processing and analytics. Develop and tune tree-based models (Random Forest, Gradient Boosting, XGBoost, LightGBM, CatBoost). Strong analytical, problem-solving, and communication skills. Experience developing models from inception to deployment 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.