DA2 Data Analyst

Job Description

Job Description

IV.AI is looking for a Data Analyst to join and help perform data analysis on diverse datasets and machine learning model outputs for large enterprise clients and for internal initiatives and products. 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.

The Data Analyst’s primary responsibility is to wrangle data, identify and deliver business insights from highly diverse data types and sources, and to deliver compelling narratives, visualizations, and presentations of the data based on agreed upon KPIs.

Salary : $50,000 to $80,000 (in USD) depending on experience

Timezone : PST

Responsibilities

• Work alongside account managers on client projects, understanding the client need and ensuring that all data-related project deliverables are high-quality and meet the client’s needs
• Act as liaison between data scientists and the account managers, joining client calls to gather necessary information for projects and to give presentations on findings
• Work alongside account managers to develop each project’s necessary business logic and connect tasks, outputs, and insights back to client objectives
• Own report delivery for clients, and contribute to library documentation
• Contribute to general features for internal product library while delivering for specific clients
• Create high quality presentations of data and insights for internal documentation and for internal and external presentations
• Work alongside the data science team to help direct project goals and develop appropriate models based on client need and internal objectives
• Support the Sales team with demo and sample analysis for preliminary reports and pitch decks
• Perform data collection, cleaning, and exploration
• Write comprehensive insights leveraging knowledge of data visualization tools and methods to meet client need and internal objectives using various third party and proprietary platforms.

Requirements

Bonus Points

Benefits

We are…

IV.AI is the world's leading language processing AI platform. We have grown fast, but aim to retain our scrappy nature that enabled us to build big AI models that outperform the industry standards. There are many companies right now that talk about the potential impact of AI while we hustle hard and have actually proven the benefits repeatedly.

Helpful

We help people become smarter by using AI or data generated by AI models - the increased human intelligence is driven via a polished AI product that makes sense of noisy social media data, documents, web data, podcasts, internal or external communications. IV.AI takes problems that were previously too complex to manage because of the scope of the research and tracking needed to solve them and makes them easy to solve via high-quality data, easy to use tools and experienced, helpful teams.

Inclusive

Our inclusive culture values people regardless of their background, education or upbringing. In order to train machines to act appropriately, we need builders and contributors who are representative of the entire population. AI is only as good as the teams working on it and the training they receive. AI is incredibly powerful and human bias in the training process can be equally harmful to the world if the technology is not being managed by teams of people who are diverse and considerate.

Hardworking

In just 5 years IV.AI has built a scalable platform with 100s of AI solutions for Fortune 500 companies including Sony, Walmart, Toyota, Netflix, Time Warner, Fox, Capital One, Estée Lauder, to name a few.

Professional

Being professional and respectful of clients and coworkers is of the utmost importance. We work with blue-chip clients and with very sensitive data that requires care and diligence via our focussed security systems and protocols.

Collaborative

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