Tiger 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 500 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. We have received multiple awards ranging from being recognized as a Leader by Forrester Research to being ranked among the fastest-growing tech companies by Inc. and Financial Times. We consistently feature in prestigious ‘Best Analytics Firms’ lists. If you’re interested to explore career opportunities with Tiger, we’d love to tell you more. You’ll work alongside the best in the industry, learn the structured approach to innovate, and have fun along the way. 

Tiger Analytics

Data Scientist

•Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
•Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions.
•Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers.
•Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products.
•Collaborate, coach, and learn with a growing team of experienced Data Scientists.
•Stay connected with external sources of ideas through conferences and community engagements.
•Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

Senior Data Scientist (Optimization) US

Senior Data Scientist (Optimization + AWS), Canada

Senior Data Scientist (Optimization + AWS), USA

Operations

•This is a high-impact role where you would be working with leaders across the company to support multiple initiatives in delivery excellence
•Delivering internal business value through a seamless data management process and information flow by collaborating with multiple onshore and offshore support functions
•Streamlining and improving staffing data processes and long-term planning for Staffing data reporting
•Collaborate with Onshore and Offshore Clients and Delivery partners to procure accurate staffing information for publishing weekly and monthly reports
•Collaborate with multiple onshore and offshore support functions to ensure seamless data interdependencies
•Enabling the success of programs through data-driven insight
•Maintain data-integrity and governance while ensuring confidentiality with respect to sensitive employee information

Manager- Operations & Delivery Analytics (US/Canada)

Solutions Engineer

•Manage large-scale data analytics client engagements in a global delivery model
•Work with clients’ Technology and Program teams to craft the engagement planning and execution roadmap
•Work with business executives to understand business requirements and constraints for the success of the program.
•Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value.
•Responsible for presentations to senior management and client executives, communicating results to client stakeholders, and developing plans to help operationalize the solutions.
•Ideating problem solutions leveraging modern trends in data and analytics solutions and related pattern
•Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions
•Steer discussions in strategizing and implementing digital and cloud solutions.
•Collaborating with business / IT stakeholders and product managers to ideate software

Solution Architect- DE Consulting

•Manage large-scale data analytics client engagements in a global delivery model
•Work with clients’ Technology and Program teams to craft the engagement planning and execution roadmap
•Work with business executives to understand business requirements and constraints for the success of the program.
•Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value.
•Responsible for presentations to senior management and client executives, communicating results to client stakeholders, and developing plans to help operationalize the solutions.
•Ideating problem solutions leveraging modern trends in data and analytics solutions and related patterns
•Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions
•Steer discussions in strategizing and implementing digital and cloud solutions.
•Collaborating with business / IT stakeholders and product managers to ideate software

•Develop scalable and efficient data pipelines to facilitate the collection, storage, and processing of large volumes of structured and unstructured data. While data engineering is not the core aspect of the role, because this role needs to get intimate with data, they need to have basic data engineering skills in databricks, pyspark environment.
•Apply advanced statistical analysis, machine learning, and data mining techniques to derive actionable insights from complex datasets.
•Develop and implement predictive, prescriptive and inferential models to solve business challenges and drive decision-making processes.
•Must be good with collaborating with technical and non-technical stakeholders to effectively understand the business challenge, use case and structure the discussion in succinct format for driving next steps.
•Collaborate with domain experts to understand business requirements and translate them into data-driven solutions.
•Communicate complex technical concepts and analytical findings effectively to both technical and non-technical stakeholders.
•Create visually compelling presentations, reports, and dashboards to convey insights and recommendations.
•Lead workshops, meetings, and discussions to drive alignment and understanding across teams.
•Provide strategic guidance and contribute to the development of data-driven strategies within the organization.

Senior Data Scientist (US)

Lead Data Scientist (Deep Learning)

Product Manager

• Develop and maintain web applications using JavaScript and React
• Collaborate with team members on UI/UX design and implementation
• Write clean and maintainable code
• Conduct code reviews and provide feedback
• Troubleshoot and debug issues
• Stay up-to-date with industry best practices and emerging technologies

Product Manager - Infrastructure

Data Engineer

• Develop new features and enhancements for our web applications
• Collaborate with cross-functional teams to define, design, and ship new features
• Write clean, maintainable code
• Troubleshoot and debug issues
• Follow best coding practices and standards
• Participate in code reviews
• Stay up-to-date with emerging technologies and trends in web development

Senior Data Architect

Senior Manager/Associate Director - Data science Consulting

• Work with a team of developers in creating high-quality software designs and architecture 
• Develop and maintain code using best practices 
• Collaborate with cross-functional teams to define, design, and ship new features 
• Troubleshoot and debug applications 
• Stay up-to-date with new industry trends and technologies 


Principal Data Engineer - AWS

• Develop and maintain software applications using C++ programming language 
• Collaborate with cross-functional teams to identify and solve complex software problems 
• Design, implement, and test software components and systems 
• Participate in code and design reviews 
• Stay up-to-date on emerging trends and technologies in software development

Senior Data Engineer

• Develop and implement new software programs
• Design and update software database
• Test and maintain software products
• Troubleshoot and debug software issues
• Collaborate with other developers to design and optimize code
• Write high-quality, efficient, and maintainable code

•Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
•Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
•Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning.
•Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers.
•Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products.
•Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources.
•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.

Data Scientist (Canada)

•A technologist and engineer at heart and be comfortable in enabling new technology and being hands on with the execution of the strategy. They must exhibit a deep understanding of modern AWS Data stack and agile delivery models, demonstrated focus on building business data pipelines.
•Functions as senior member of an agile team and helps drive consistent development practices, tools usage, common components, and patterns.
•Direct the identification and recommendation of appropriate solutions.
•Performs hands-on design and development with PySpark/Pandas/SQL, AWS Glue for ETL and Catalog, Datasync, Parquet files, Warehousing experience preferably with Snowflake and/or Redshift
•Spends significant amount of time writing code and testing.
•Works with the team to cost-optimize AWS code execution.
•Mentors less experienced team members
•Skilled with dimensional modeling and devops processes

Remote Jobs at Tiger Analytics

Tiger Analytics

Senior Data Scientist (Optimization) US

Tiger Analytics

Senior Data Scientist (Optimization + AWS), Canada

Tiger Analytics

Senior Data Scientist (Optimization + AWS), USA

Tiger Analytics

Manager- Operations & Delivery Analytics (US/Canada)

Tiger Analytics

Solution Architect- DE Consulting

Tiger Analytics

Solution Architect- DE Consulting

Tiger Analytics

Senior Data Scientist (US)

Tiger Analytics

Senior Data Scientist (US)

Tiger Analytics

Lead Data Scientist (Deep Learning)

Tiger Analytics

Product Manager - Infrastructure

Tiger Analytics

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