Data Analyst

Who We Are:

HighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With a focus on streamlining marketing efforts and providing comprehensive solutions, HighLevel helps businesses of all sizes achieve their marketing goals. We currently have 1000+ employees across 15 countries, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and encourage a healthy work-life balance for our employees wherever they call home.

Our Website - https://www.gohighlevel.com/

YouTube Channel- https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g

Blog Post - https://blog.gohighlevel.com/general-atlantic-joins-highlevel/

Our Customers:

HighLevel serves a diverse customer base, including over 60K agencies & entrepreneurs and 450K million businesses globally. Our customers range from small and medium-sized businesses to enterprises, spanning various industries and sectors.

Scale at HighLevel:

We operate at scale, managing over 40 billion API hits and 120 billion events monthly, with more than 500 micro-services in production. Our systems handle 200+ terabytes of application data and 6 petabytes of storage

About the role

We are looking for a senior AI engineer for the platform team. The ideal candidate will be responsible for deriving key insights from huge sets of data, building models around those, and taking them to production.

● Implementation

- Analyze data to gain new insights, develop custom data models and algorithms to apply to distributed data sets at scale

- Build continuous integration, test-driven development, and production deployment frameworks

● Architecture- Design the architecture with the Data and DevOps engineers

● Ownership- Take ownership of the accuracy of the models and coordinate with the stakeholders to keep moving forward

● Releases- Take ownership of the releases and pre-plan according to the needs

● Quality- Maintain high standards of code quality through regular design and code reviews.

Qualifications

• Extensive hands-on experience in Python/R is a must.
• 3 years of AI engineering experience
• Proficiency in ML/DL frameworks and tools (e. g. Pandas, Numpy, Scikit-learn, Pytorch, Lightning, Huggingface)
• Strong command in low-level operations involved in building architectures for Ensemble Models, NLP, CV (eg. XGB, Transformers, CNNs, Diffusion Models)
• Experience with end-to-end system design; data analysis, distributed training, model optimisation, and evaluation systems, for large-scale training & prediction.
• Experience working with huge datasets (ideally in TeraBytes) would be a plus.
• Experience with frameworks like Apache Spark (using MLlib or PySpark), Dask etc.
• Practical experience in API development (e. g., Flask, FastAPI .
• Experience with MLOps principles (scalable development & deployment of complex data science workflows) and associated tools, e. g. MLflow, Kubeflow, ONNX
• Bachelor's degree or equivalent experience in Engineering or a related field of study
• Strong people, communication, and problem-solving skills

What to Expect when you Apply

● Exploratory Call

● Technical Round I/II

● Assignment

● Cultural Fitment Round

EEO Statement:

At HighLevel, we value diversity. In fact, we understand it makes our organization stronger. We are committed to inclusive hiring/promotion practices that evaluate skill sets, abilities, and qualifications without regard to any characteristic unrelated to performing the job at the highest level. Our objective is to foster an environment where really talented employees from all walks of life can be their true and whole selves, cherished and welcomed for their differences while providing excellent service to our clients and learning from one another along the way! Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Responsible for gathering, crunching, collecting raw data.
• Own all data needs in the growth team and across key cross-functional initiatives from data extraction, dashboard creation, and data analysis.
• Provide insights and recommended actions as response to current situation, trend, as well as preventive one for better preparation.
• Collaborate with data engineering and cross-functional stakeholders to define data requirements, create dashboard, to drive business decisions and optimize business outcomes
• Manage any regular reporting and tracking.
• Deliver analysis, insights, reporting, data marts, and tools to support the business team.
• Build & maintain data mart and dashboards for tracking business OKR and initiatives.
• Ingest both internal and external data to support business needs.

• Bachelor's degree in Engineering, Mathematics, Statistics, Operation Research or other related disciplines.
• Having 2 - 5 years experience will be an advantage, but fresh graduates are welcomed to apply as well.
• Expert in Spreadsheet, SQL and strong experience with Data Visualization and Reporting tools (e.g. Tableau, Google Data Studio)
• Comfortable working independently and collaboratively with minimal guidance.

• Research and recommend prospects for new business opportunities
• Research and analyze sales options
• Build and maintain relationships with clients and prospects
• Stay current with trends and competitors to identify improvements or recommend new products
• Collect and analyze information and prepare data and sales reports
• Attend workshops to learn more technical and professional skills for the job
• Build and maintain professional networks