data wrangling

Data Analyst (Materials Analytics)

posted by: spj_bot

Tiger 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. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We're looking for a data evangelist with hands-on SQL experience and a solid understanding of data architecture. You will thrive on empowering others through reporting and analytics, whether building solutions or mapping business processes to data. You will excel at uncovering relationships in complex data environments and simplifying technical concepts for diverse audiences.

Overview

As a Materials Data Analyst, you will play a pivotal role within the Sustainability and Materials Analytics team. You will deliver actionable data and insights to help optimize the Materials Supply Chain by matching supply with demand more efficiently and effectively.

Responsibilities

Job Skills

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Forward Deployed Software Engineer, Utilities

posted by: spj_bot

About the Role

Our client is a global company that helps some of the world's most important institutions use data to solve their most urgent problems. As a Forward Deployed Software Engineer, you’ll work directly with customers to understand their challenges and use data to design and implement impactful solutions. This role is a unique opportunity to gain rare insight into and contribute to industries like national security, healthcare, and energy.

Your responsibilities will be similar to those of a startup CTO. You’ll be part of a small team and own the end-to-end execution of high-stakes projects, from discussing architecture with fellow engineers to wrangling massive-scale data and speaking with customer executives.

What You'll Do

  • Work directly with customers to understand their problems and design solutions using data.
  • Own the end-to-end execution of high-stakes projects.
  • Span a variety of tasks, including architecture discussions, data wrangling, custom coding, and strategic planning.
  • Help organizations use their data to drive real-world impact.

Requirements

Job Skills

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Software Engineer (Python) - Mid level, 3+ years

posted by: spj_bot

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate, and assess intricate collections of private and public shipping data. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. Insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities that are leveraged in the solutions that we offer or can be directly embedded in our client’s system topologies.

The team: The team oversees the data, models, and relevant backend infrastructure responsible for modeling the global shipping market, monitoring movements, and commodity trades. The role is integral to this process, centered on the development of production-ready online NLP models designed to understand and interpret vital information within a variety of shipping reports. 

About the role: 

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Data Engineer - Azure (Scala/Kafka)

posted by: spj_bot

Description

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 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are expanding our Data Engineering practice and looking for Sr. Azure Data Engineers to join our growing team of analytics experts. The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals.

This is a remote role for applicants based in USA.

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