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 Data Scientist you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. The role demands a balanced mix of technical expertise, stakeholder management. You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business and cross-functional teams, you will translate hypotheses into robust analytical models, validate outcomes with statistical rigor, and clearly communicate results to drive data-backed decision-making and measurable business value.

Key Responsibilities

Tiger 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 a seasoned analytics leader to drive advanced data science initiatives within the commercial pharma space. This role will focus on building and scaling Next Best Action (NBA) frameworks and omnichannel engagement strategies to enable personalized HCP and patient journeys, improve commercial effectiveness, and drive business impact.

Responsibilities

Pharma Media Analytics & Optimization

Welcome to PXGEO

PXGEO is an innovative marine geophysical service provider combining the strengths of ocean bottom and towed streamer seismic data acquisition techniques to deliver seamless subsurface imaging for a sustainable future.

What's the role?

As a Data Analyst at PXGEO, you are responsible for supporting the development, design, integration, and deployment of business intelligence solutions, including data lakes, data warehouses, and analytics tools. The role provides data management and analysis capabilities for current solutions, evaluates and implements new technologies to meet changing business needs in cost-effective ways, and ensures data accuracy and accessibility for decision-making purposes. Key responsibilities include:

Power BI Dashboard Development

• Design, build, and update interactive Power BI dashboards with a strong focus on clarity and user experience.
• Create and optimize DAX measures, calculated columns, KPIs, and time‑intelligence metrics.
• Build efficient data models (relationships, hierarchies, star schema basics).
• Ensure dashboards are accurate, well‑documented, and delivered on time.

Business Intelligence and Analytics

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/Lead Data Scientist with strong expertise in advanced data processing to join our Supply Chain Analytics team. The ideal candidate will have hands-on experience leveraging Python, PySpark, modelling and EDA experience solve complex business problems in supply chain optimization.. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. 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

Location: Remote with a 6 hour overlap with EST

Remote | Full-time

Compensation: $75K - $100K

We are hiring on behalf of our client who is seeking a Web Scraping Specialist to join a specialized technical team focused on building the infrastructure that delivers massive amounts of web data for the training of advanced AI models. This organization operates a massive distributed crawler and manages complex pipelines for ingesting, segmenting, and annotating billions of data points, including videos, transcripts, and audio files.

The successful candidate will lead efforts to gather and analyze data, optimize scraping processes, and support the scaling of high-quality public web data accessibility. This role is ideal for a lean, technical builder who thrives in a fast-paced environment without bureaucratic red tape.

Key Responsibilities:

Tiger 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. Various market research firms, including Forrester and Gartner, have recognised our business value and leadership. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.

The ideal candidate will bring a blend of hands-on analytics expertise, stakeholder management, and team leadership experience, along with the ability to translate business challenges into scalable data solutions.

RESPONSIBILITIES:

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

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/Lead Data Scientist with strong expertise in advanced data processing to join our Supply Chain Analytics team. The ideal candidate will have hands-on experience leveraging Python, PySpark, modelling and EDA experience solve complex business problems in supply chain optimization.. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. 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

GoMining is looking for a Data Analyst to join our Finance team and support financial planning, performance analysis, and strategic decision-making.


This position is ideal for someone who combines strong analytical thinking with solid financial understanding and can work confidently in a fast-paced, transaction-heavy fintech / crypto environment.

Responsibilities:

• Analyze financial data including revenue streams, cost structures, margins, and unit economics.
• Support budgeting, forecasting, and financial planning processes.
• Build and maintain financial dashboards and management reports using BI tools (Looker Studio, Tableau, Power BI).
• Develop financial models for revenue forecasting, scenario analysis, and profitability evaluation.
• Work with transaction-heavy datasets related to payments, crypto flows, mining rewards, digital assets, and platform fees.
• Monitor product and financial performance metrics ARPU, LTV, CAC, churn, contribution margin.
• Support P&L analysis across products and regions.
• Automate recurring financial reports and reporting pipelines.
• Ensure data consistency between finance, product, and operational systems.
• Prepare structured presentations and analytical summaries for CFO and executive team.

Requirements

Tiger 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 a highly experienced Techno-Functional Consultant who will lead Pricing Operations while driving the technology direction and architecture strategy across Google Cloud, Data Science Modeling, Agentic AI, Software Engineering, and Solution Architecture.

This is a hybrid role requiring strong business acumen in pricing and commercial operations, combined with deep technical expertise to design scalable, AI-driven, cloud-native solutions that enable intelligent pricing, automation, and data-driven decision-making.

The ideal candidate bridges business and engineering teams, ensuring pricing strategy is operationally efficient, analytically robust, and technologically advanced.

RESPONSIBILITIES:

1. Pricing Operations Leadership