Please Note:

This role is for a Senior Data and AI Engineer. It is a direct contributor role and it is Equity Only for the next few months as we have just gone live and expect to raise a round imminently. That doesn't mean that the role is part-time, or that it is an "advisor" role. It means that this is a roll-up-your-sleeves role where you will be expected to contribute code, integrations, and algorithms that bring meaningful value to our users daily, and as a result you will be advancing your shares. If you are ready to kill it, are passionate about the potential of AI applied to data extracted from SaaS tools, and want to be part of a serious A-team in AI, this role is for you and you should apply.

About SQOR:

SQOR has built a cutting-edge AI platform at SQOR.ai that will revolutionize how SaaS data is transformed into actionable business intelligence. Our AI will evaluate performance across every SaaS tool at a company, offering essential intelligence and situational awareness that is simply plug-and-play, accessible to all, and without the need for data scientists. Our platform, driven by our unique Execution Score Algorithm (ESA), provides comprehensive insights at tool, division, and company levels and already has 40+ tools integrated.

Watch the vision: https://youtu.be/Aff-rX9W_TE?si=Jue2LS3ElFX7g1Wz

Position Overview:

We are seeking a passionate Senior Data and AI Engineer that wants to make a giant difference in the industry. We are developing novel ways of extracting, analyzing and summarizing data collected from hundreds of SaaS tools. You will play a pivotal role in helping invent novel algorithmic solutions to data understanding, develop efficient systems using them, test and deploy them for our customers. The ideal candidate is a person who is able to come up with innovative ideas for our problems, develop and validate the techniques, implement them efficiently in Python , and communicate to the team and users on the benefits of those solutions.

Compensation:

The role offers 1% to 2% equity, based on your involvement and contribution.

Position represents a long-term commitment to grow alongside our team. As we gain a little traction and raise capital, salaries will become available. We are about to launch and intend to provide some salary compensation by the beginning of Q2.

Key Responsibilities:

• Devise methods for qualitative and quantitative analysis of time-series data.
• Develop, validate, and test methods for time-series data forecasting.
• Apply techniques based on statistical analysis, traditional machine learning, as well as deep learning, to a variety of data-intensive problems.
• Develop LLM-based applications for helping users interact with complex data.
• Collaborate closely with the data integrations team to ensure efficient data flow into the database to feed our AI.
• Contribute to strategic discussions, offering insights derived from data trends.

Required Skills and Experience:

• At least 5 years of programming experience and at least 3 years using Python.
• Strong experience with data structures and algorithms.
• Experience with databases and ETL/ELT frameworks (SQL, MongoDB, BigQuery, Snowflake, etc.)
• Experience with analyzing time-series data and forecasting methods.
• Experience with Pandas and Scikit-Learn.
• Experience with training and deploying Machine Learning and/or Deep Learning applications.
• Excellent communication skills, capable of bridging technical and business perspectives.
• Communication skills to interface with customers, data science teams, and developers
• Research skills and intellectual curiosity to stay up-to-date with the latest publications in data science and AI.
• Proven experience in data engineering, data architecture, and software development
• Experience with cloud technologies such as AWS, GCP, or Azure a plus

Desirable Attributes:

• Strong foundation in data structures, algorithms, ETL/ELT and Machine Learning.
• A degree in Computer Science, Data Science, Applied Math, or related field is a plus, BUT NOT REQUIRED.
• Commitment to pull up the sleeves and contribute to the team in the best way possible.
• Ability to innovate in a flat startup data team hierarchy environment.
• Focus on creating user-centric solutions, acknowledging the vast array of SaaS tools and user needs.

What We Offer:

• A pivotal role in an innovative startup, shaping the future of business intelligence.
• Equity stake as a Co-Founder.
• A chance to help drive the growth with a company on the cutting edge of AI-driven business solutions.
• A collaborative and inclusive culture.

Why Join Us:

At SQOR.ai, we are not only developing a groundbreaking business intelligence software, but we are also on a mission to disrupt venture funding and eliminate bias. By joining our team, you'll have the opportunity to make a difference and contribute to leveling the playing field for companies. We offer significant sweat equity at present, with the anticipation of raising a round in the near future. As a remote-friendly company, we welcome talented individuals from anywhere in the world to join our passionate and distributed team. Apply now, and join us in our mission to redefine data-driven decision-making in the SaaS ecosystem!