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Staff Engineer (Core & MLOps) - Remote

posted by: spj_bot

Why Zyte?

At Zyte, we don’t just collect web data—we solve complex web data challenges at scale. We are a globally distributed team that is bold, curious, and dedicated to building innovative ways to deliver clean, reliable web data from across the internet.

Job Skills

layers open web community collaborate refine infrastructure managed collaborating core api data centers GCP web scraping communication product requirement data pipeline emerge technology telemetry experience design engineering problems bigquery python blast reliable billing best practices grafana engines processing software factory product teams real time write communication enforcement prometheus radius reliability engineering system based scalable reactive mysql com operational diving deep safe world systems problem solve libraries unlock open source microservices transcoding kubernetes automated governed netty competitive intelligence API devops budgets validate systems built post mortems track leadership terraform high throughput reliability vert x self motivated ul managing adapt backward compatibility hbase protocol buffer networking throughput performance monitoring fault tolerant distributed team designer experience api gateway workflows haproxy nginx resources allocated open source technology innovation senior engineers innovative adoption systems engineers creative problem solve behavior based infrastructure cloud complex code healing postgresql clusters high system design operate project generators chassis design review languages java architectural research distributed systems operated circleci feature engineering backend materialize view translate tooling execution engines analytics sustainable design data extraction failover technical writing infrastructure solve complex scale workflow java
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Sr. Analytics Consultant

posted by: spj_bot

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 has been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Sr. Analytics Consultant where you will bridge the gap between high-level business strategy and technical execution. In this hands-on consulting role, you will lead project discovery, drive stakeholder engagement, and design the core metric structures that power strategic decision-making.

Responsibilities

  • Lead discovery sessions and stakeholder interaction to understand business requirements.
  • Translate business objectives into clear, actionable analytical roadmaps.
  • Establish definitions, calculation logic, and governance for key performance indicators (KPIs) and business metrics.
  • Conduct data suitability and quality assessments to ensure foundational data supports key metrics.
  • Perform hands-on data exploration, feature analysis, and data profiling using SQL and Python.
  • Partner with Power BI developers to design intuitive wireframes, semantic models, and dashboards aligned with business workflows.

Requirements

Job Skills

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Sr. Analytics Consultant

posted by: spj_bot

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 has been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Sr. Analytics Consultant where you will bridge the gap between high-level business strategy and technical execution. In this hands-on consulting role, you will lead project discovery, drive stakeholder engagement, and design the core metric structures that power strategic decision-making.

Responsibilities

  • Lead discovery sessions and stakeholder interaction to understand business requirements.
  • Translate business objectives into clear, actionable analytical roadmaps.
  • Establish definitions, calculation logic, and governance for key performance indicators (KPIs) and business metrics.
  • Conduct data suitability and quality assessments to ensure foundational data supports key metrics.
  • Perform hands-on data exploration, feature analysis, and data profiling using SQL and Python.
  • Partner with Power BI developers to design intuitive wireframes, semantic models, and dashboards aligned with business workflows.

Requirements

Job Skills

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Senior React Engineer (TypeScript) - 6 to 12 months - Immediate Hire

posted by: spj_bot

About the Role

We are looking for a Senior React Developer to join an international delivery team supporting a growing technology platform. The ideal candidate will have strong hands-on experience with React and TypeScript, front-end architecture, and the delivery of scalable, accessible, and production-ready applications.

This role requires someone who can take ownership of front-end components from technical design through implementation, testing, deployment, and stabilization, while establishing engineering best practices and mentoring other developers.

Key Responsibilities

Job Skills

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Operation Research Scientist - Demand Planning/Forecasting

posted by: spj_bot

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it

We are seeking a Operation Research Scientist to join our advanced analytics  and AI team supporting some of our large enterprise clients. In this role, you will

Key Responsibilities:

Job Skills

color datasets algorithm automation data data predictive modelling resource allocation object orient programming artificial intelligence adapt business cases business requirement CPLEX communication upskilling inventory management data platforms landscape apply mathematic supply chain optimization sql computer science emerge technology cloud native continuous improvement operation research latin term life insurance translate analytical business transformation invests key performance indicator data engineering libraries unlock career development statistical method data analysis python algorithms life insurance collaborate best practices analytics collaboration innovation pyspark supply chain cross functional teams supply chain management adoption data science predictive models consulting accounts gurobi disability machine learning business partner scale statistical mathematical programming programming languages retirement accounts execute
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Operation Research Scientist - Demand Planning/Forecasting

posted by: spj_bot

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it

We are seeking a Operation Research Scientist to join our advanced analytics  and AI team supporting some of our large enterprise clients. In this role, you will

Key Responsibilities:

Job Skills

color datasets algorithm automation data data predictive modelling object orient programming artificial intelligence adapt business cases data platforms business requirement CPLEX communication upskilling invests landscape apply mathematic supply chain optimization sql computer science emerge technology cloud native operation research latin term life insurance translate analytical business transformation data engineering libraries unlock career development statistical method data analysis algorithms python life insurance collaborate best practices analytics collaboration innovation pyspark supply chain cross functional teams supply chain management adoption data science predictive models consulting accounts gurobi disability machine learning business partner scale statistical mathematical programming programming languages retirement accounts
View the job post & apply

Staff Engineer (Core & MLOps) - Remote

posted by: spj_bot

Why Zyte?

At Zyte, we don’t just collect web data—we solve complex web data challenges at scale. We are a globally distributed team that is bold, curious, and dedicated to building innovative ways to deliver clean, reliable web data from across the internet.

Job Skills

layers open web community collaborate refine infrastructure managed collaborating core api data centers GCP web scraping communication product requirement data pipeline emerge technology telemetry experience design engineering problems bigquery python blast reliable billing best practices grafana engines processing software factory product teams real time write communication enforcement prometheus radius reliability engineering system based scalable reactive mysql com operational diving deep safe world systems problem solve libraries unlock open source microservices transcoding kubernetes automated governed netty competitive intelligence API devops budgets validate systems built post mortems track leadership terraform high throughput reliability vert x self motivated ul managing adapt backward compatibility hbase protocol buffer networking throughput performance monitoring fault tolerant distributed team designer experience api gateway workflows haproxy nginx resources allocated open source technology innovation senior engineers innovative adoption systems engineers creative problem solve behavior based infrastructure cloud complex code healing postgresql clusters high system design operate project generators chassis design review languages java architectural research distributed systems operated circleci feature engineering backend materialize view translate tooling execution engines analytics sustainable design data extraction failover technical writing infrastructure solve complex scale workflow java
View the job post & apply

Data Scientist

posted by: spj_bot

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Data Scientist to own the part that comes before the system exists: what question is actually being asked, which method answers it, whether the answer holds up, and how anyone would know.The role is fully remote across Latin America, aligned to your client's working day.

You will not be handed a specification. Azumo has shipped models into production since 2016, and the work here starts with a client who knows what bothers them and does not yet know what to measure. Turning that into a model, a baseline, and a number someone can act on is the job.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Engineer lane owns pipelines, storage, and the retrieval layer. The AI Engineer lane owns production behavior. The Software Engineer lane owns AI-augmented product delivery. This role is the Data Scientist lane, and it owns the question and the method.

One question places the boundary: when the output is wrong, whose problem is it? "The method was inappropriate, or the question was the wrong one" is yours. "The system did the wrong thing with an appropriate method" is the AI Engineer's.

Not quite your profile? Check our other openings:

Job Skills

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Manager / Senior Manager, Principal Data Analytics

posted by: spj_bot

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 has been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Principal Data Analytics will play a critical role in developing advanced analytical and machine learning solutions that support strategic initiatives across Sales, Vendor Management, Cloud, eCommerce, Finance, and Supply Chain. This role combines hands-on modeling, deep analytical thinking, and strong business partnership.

Responsibilities

Job Skills

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AI Engineer - Generative AI and Agents

posted by: spj_bot

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring an AI Engineer to own what those systems do once they are live: retrieval pipelines, tool-using agents, evaluation harnesses, and the guardrails that keep them dependable in front of real users. The role is fully remote across Latin America, aligned to your client's working day.

You will not be building demos. Azumo has shipped production AI since 2016, and the work here starts where the prototype ends, making a system reliable, measurable, and affordable enough to put in front of customers.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Engineer lane owns pipelines, storage, and the retrieval layer. The Data Scientist lane owns the question and the method. The Software Engineer lane owns AI-augmented product delivery. This role is the AI Engineer lane, and it owns production behavior.

One question places the boundary: when the output is wrong, whose problem is it? "The method was inappropriate" is a Data Scientist question. "The system did the wrong thing with an appropriate method" is yours.

Not quite your profile? Check our other openings:

Job Skills

demonstrable production professional grading terraform operates prototype reliability embedding validation operation product software containerized high throughput data engineer file github com code review hipaa test design window management computer science self host San api design latin hosted tooling remuneration toolchain libraries career development open source teaching python testing code sanitization throughput reliable storage workflows philanthropy programming docker automated audit based systems data science infrastructure as code git stage fallbacks software development layer budgets real time technical writing embedded tracking infrastructure human in the loop english support engineers e codebase generation function enforcement software engineer error analysis production software
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