At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true.

Gro Intelligence is tackling two of the biggest problems facing the world today: food security and climate change. We understand and quantify the complex interplay between food, weather, trade, agriculture, and macroeconomic conditions in a world upended by climate change, a growing population, and more. The team at Gro has built a platform that allows businesses, non-profits, and governments to better plan for and adapt to these changes. With offices in Nairobi, New York, and Singapore Gro has the financial backing of prominent investors such as TPG Growth, Intel Capital, Data Collective, and GGV. Gro is a diverse, intellectually curious team of technologists, scientists, and business professionals united by a shared commitment to build AI that addresses agriculture, food, and our climate on the most fundamental level.

Channel Factory provides intelligent marketing solutions for the next generation of contextual safety, suitability, and performance for brands and agencies. Our platform helps marketers implement, automate, and scale their marketing programs across the world's largest video library, YouTube and emerging growth channels. We sit at the intersection of marketing and suitability and have a mission of enabling the world's top brands to consciously connect with the right audience in the right context, maximizing suitability and contextual performance. Channel Factory embodies a strong start-up culture that values diversity, collaboration, and results. We expect a lot from one another and value our thoughtful and intellectually curious company culture.

As a Data Science Engineer in our Decision Sciences Visualization team, you will create innovative visual analytics systems that reveal, explore and explain complex patterns and phenomena from Epsilon's peta-scale and massively-dimensional digital marketing ecosystem. You will reduce this complexity into sophisticated, interactive visual metaphors and stories that demonstrate the business value of Epsilon's platform directly to our stakeholders and global customers (which includes some of the world's largest brands). Our visualization challenges span hundreds of millions of highly detailed individual profiles across hundreds of millions of web sites and apps tied together by sophisticated real-time analytics that make near instantaneous decisions on messaging to those profiles trillions of times a day. This provides an incredibly rich environment of business questions and answers that are hidden within petabytes of data. In this role, you will be a key member of a multi-disciplinary R&D team creating a full-stack visual analytics system that connects to big data platforms and machine learning systems to present complex enterprise-critical information in an engaging, intuitive and informative manner.

Drift is the Conversational Marketing platform that combines chat, email, video, and AI to remove the friction from business buying. With Drift, you can start conversations with future customers now, on their terms -- not days later. There are over 50,000 businesses that use Drift today to accelerate revenue, shrink sales cycles, and make buying easy. Our mission is to use conversations to make business buying frictionless, more enjoyable, and more human. Drift is a Digital First company, which means Remote is the primary experience for all employees.

This headline may seem a bit odd to you. Since data science has a huge impact on today's businesses, the demand for DS experts is growing. At the moment I'm writing this, there are 144,527 data science jobs on LinkedIn alone. But still, it's important to keep your finger on the pulse of the industry to be aware of the fastest and most efficient data science solutions. To help you out, our data-obsessed CV Compiler team analyzed some vacancies and defined the data science employment trends of 2019.

This headline may seem a bit odd to you. Since data science has a huge impact on today's businesses, the demand for DS experts is growing. At the moment I'm writing this, there are 144,527 data science jobs on LinkedIn alone. But still, it's important to keep your finger on the pulse of the industry to be aware of the fastest and most efficient data science solutions. To help you out, our data-obsessed CV Compiler team analyzed some vacancies and defined the data science employment trends of 2019.

Digital marketing is experiencing a transformative shift to automated, personalized marketing and prescriptive, machine learning recommendation engines. Wire Stone is a leading provider of integrating marketing solutions and experiences, maintaining client relationships that span many years and, in some cases, decades. Wire Stone is uniquely qualified to assist marketing leaders and decision makers at every level of the various industries we work with: technology, telecommunications, automotive, aeronautics, sports retail, financial, and others. We're a unique mix of strategists, creatives, programmers, data analysts, engineers and architects--obsessed with the art and science of crafting integrated approaches and optimizing meaningful connections that few agencies can match. Wire Stone's Data Science team provides intelligence products and services to some of the world's largest and most innovative companies.

I'd like to add a bit to this discussion, if I may... Since ML people come from many places, but chiefly statistics (incl. The former prefer "stream-of-consciousness" work, where they get ideas and test them, play around for a bit until they get something that works well for them... and then keep the notebook in that format, usually due to lack of time/resources for this "finished" project. This generally makes it hard for other people to easily wrap their heads around what you've done by themselves (ie without a walk-through). This philosophy is more or less the basis of the R language and Jupyter-style notebooks: easy for experimentation and results are immediate. I use this approach when exploring new tasks.

Adobe is looking for a Senior Data Science Engineer who will be building the next generation of data driven products. As a Senior Data Science Engineer you will be involved of all aspects of the optimization and modeling process for Adobe's Marketing Cloud platform. These include creating and reviewing high-level architectural changes, solving novel optimization and modeling problems, and mentoring others to improve their abilities to do the same. You will be hands-on, which means you will be writing code in python to implement many of these solutions and setting an example for the team in terms of your ability to produce production-quality software. The display algorithms team manages the machine-learning and optimization internals of Adobe's suite of online advertising products.