Data Scientist

IV.AI; Argentina; A distancia; ARS 30.369.000 - 54.664.000; Jornada completa

Descripción de la vacante

IV.AI is seeking a Data Scientist to tackle ML problems in NLP for large enterprise clients. You will deliver production-ready code, data and insights, collaborating in a distributed team with tight deadlines.

The role focuses on building data pipelines, writing SQL queries and Python models in Jupyter, and presenting clear reports to clients. Remote work within a small, professional team is supported.

Formación

• 2+ years writing queries in SQL or running models in Python/Jupyter
• 2+ years experience with statistical analysis
• Write and speak clearly, communicate empathetically
• High standard of excellence for your work
• Attention to detail: spotting typos in text and errors in data

Responsabilidades

• Primarily focus on improving your craft as a Data Scientist
• Build SQL queries to calculate specific metrics
• Prototype data pipelines on Jupyter
• Write clear and concise reports for client deliverables, and documentation for internal tools
• Analyze and present datasets or results with simple methods
• Understand the reasoning behind the team's design decisions to verify and debug implementations of the designs

Conocimientos

SQL

Python

Statistical analysis

Communication

Attention to detail

Herramientas

Jupyter

Pandas

Git

PostgreSQL

GitHub

Descripción del empleo

IV.AI is looking for a Data Scientist to join and help work on machine learning problems (in the field of natural language processing) for large enterprise clients and to improve the suite of products that we offer. The ideal candidate should be helpful, responsive, dependable, and comfortable working remotely within a small team with tight deadlines. We value people who thrive working collaboratively in a distributed team and who are enthusiastic about the potential of machine learning.

Your primary responsibility is to deliver quality production-ready code, data and insights. Execute on defined tasks and contribute to solving problems with defined solutions.

Salary range: USD$20,000 to $36,000 (USD) annual based on experience

Timezone: PST

Employment Type: Full Time Employee

Must-Haves

• 2+ years writing queries in SQL or running models in Python/Jupyter

• 2+ years experience with statistical analysis

• Write and speak clearly, communicate empathetically

• High standard of excellence for your work

• Attention to detail: spotting typos in text and errors in data

Bonus Points

• Data visualization beyond pies and bars (e.g. box and whiskers, histograms, violin plots)

• Github: pull, push, merge, PR, cherry-picking, issue tracking

• Regular Expressions

• PostgreSQL 12+

• An example where we can see your writing style (in English), ideally data-related

Responsibilities

• Primarily focus on improving your craft as a Data Scientist

• Build SQL queries to calculate specific metrics

• Prototype data pipelines on Jupyter

• Write clear and concise reports for client deliverables, and documentation for internal tools

• Analyze and present datasets or results with simple methods

• Understand the reasoning behind the team's design decisions to verify and debug implementations of the designs
  

Qualifications

Great people come from diverse backgrounds and we are a team that embodies this. We’re not necessarily looking for a Computer Science Masters or PhD. We are looking for someone who cares about articulating high quality data observations and can work diligently, while tackling problems systematically.

Who are we?

IV.AI is the world's smartest AI platform with a focus on enterprise. We have grown fast but aim to retain the scrappy nature that enabled us to build big ML models that outperform the industry standards. There are a lot of companies right now that talk about the potential impact of AI while we hustle hard and have actually proven the benefits repeatedly. See validation on the homepage or via case studies and press.

We are…

Helpful

We’re trying to help everyone become better informed by using machine learning - whether it's a model that makes sense of noisy social media data, a voice-powered interface, or a conversational interface, we want to help others make more informed decisions by using AI.

Inclusive

Our inclusive culture values people regardless of their background, education, or upbringing. In order to train machines to act appropriately, we need to be representative of the entire population. AI is only as good as the teams working on it and the training it receives.

Hardworking

You should expect hard challenges working with our tier 1 client list. In just 3 years we have built a scalable platform with 1000s of AI solutions for Fortune 500 companies including Sony, Netflix, Time Warner, Fox, Capital One, Estée Lauder, to name a few.

Professional

Being professional and respectful of our clients is of the utmost importance. We work with blue-chip clients and we sometimes work with very sensitive data.

Collaborative

Our employees are constantly problem-solving and assessing their own output to maximize delivery. It's important that our team is always looking for the best way of addressing problems so we can manage customer expectations.

Smart

We never try to write more code than is necessary for a task. We modularize and systemize everything. Concurrency is important to us and simple solutions always win. We work together to determine best practices/processes and to stick to them. We believe that no challenge is too hard.

Evolving

We’re still young. Expect that you'll be part of a core team, able to have a say in the future of the company. Also expect that the senior team has no problem being challenged: they love to listen.

Who you should be...

You should love to build things and be excited about AI. You should be smart and always willing to learn. You'll be able to accept your own limitations and be honest that nobody knows everything, anybody is able to ask for support. You will always be looking for solutions that can speed up workflows. Efficiency is at the top of your mind. You like doing things the "right" way, but are pragmatic when you have a deadline.