Mid-Level Data Analyst - ACX

Overview

Our vision is to transform data into value for everyone. Our data services enable marketers to recognize, better understand, and to deliver highly applicable messages to consumers across any available channel. Our solutions enable true people-based marketing with identity resolution, rich descriptive and predictive audience segmentation. We are seeking a Data Analyst with a versatile skill set to undertake data science and analytics to support the development of the next generation products for our business.

As part of the Data Sciences & Analytics Team, you will work hands-on with innovative technologies to build scalable data products and solutions for our US and global businesses. Your responsibilities include collaborating with partners to identify insights from data, coming up with modeling requirements, applying creativity to test hypotheses, prepare & automate data preparation processes, build models, analyze & visualize results and integrate the solution into innovative data products.

Key Responsibilities

• Work with Applied Scientists, Data Scientists, Product owners, Machine Learning Engineers,   
  and Software Engineers to design and deliver Machine Learning solutions in production at   
  scale.  
• Develop automated AI and ML workflows and end-to-end pipelines for data preparation,   
  training, deployment, monitoring, etc., and ensure the quality of architecture and design of   
  our ML systems and data infrastructure.  
• Leverage AI to develop GenAI powered solutions to complement our data science and product   
  build capabilities  

Requirements  

• Bachelor’s degree in computer science or equivalent experience (3+ years in development)  
• 5+ years of professional software development experience 
• Strong foundation in object-oriented design, data structures, algorithms, problem solving,   
  and complexity analysis  
• Proficiency in at least one modern programming language (Python, Java, C++, C, Perl)  
• 3+ years of experience building scalable ML infrastructure and big data systems  
• 3+ years of experience with MLOps tools (Airflow, Kubeflow, Optuna, MLflow)  
• 3+ years of developing large-scale model inference using Spark, EMR, or Databricks 
• 1+ year of experience with GenAI (e.g., OpenAI API, Bedrock API, Vertex API, LangGraph)  
• High attention to detail with the ability to manage multiple priorities  
• Experience in operationalizing and scaling ML models in production  
• Experience with orchestration and MLOps pipelines for training and scoring
• Familiarity with Large Language Models, fine-tuning, and deployment (HuggingFace, Amazon Bedrock, Vertex AI)
• Knowledge of vector databases (Pinecone, ChromaDB)
• Experience with CI/CD/DevOps tools (Jenkins, Terraform, CloudFormation)
• Proficiency in Apache Spark, EMR/DataProc, and cloud tools (Snowflake, Redshift, AWS Glue, Lambda)
• Experience with ML libraries (H2O, scikit-learn, PyTorch, TensorFlow)
• Expertise in the full ML software development lifecycle
• Excellent technical communication skills with scientists and engineers
• 2+ years of experience with databases (SQL) and Linux
• 3+ years of AWS infrastructure experience (EC2, RDS, S3, EMR) or equivalent GCP experience 

What will set you apart:

• Databricks and/or Snowflake ML Certification
• Experience with LangGraph, Databricks MLFlow, Docker, and Kubernetes
• Knowledge of LLM observability platforms
• Good communication skills: communicate ideas clearly and effectively to other members of the analytics team and to the client at multiple levels (both technical and business)
• Analytical problem-solving with a creative approach
• Expertise in data concepts, architecture, manipulation, and engineering design
• Passionate about aligning projects with broader business objectives 
• Proficiency in multiple programming languages (statistically vs. dynamically typed, object-oriented vs. procedural)
• Self-starter with the ability to work independently
• Adaptable to diverse technical challenges and systems Capable of presenting data insights to both technical and non-technical audiences 

About KINESSO 

KINESSO is a technology-driven performance marketing agency within IPG Mediabrands, providing actionable growth through optimization, analytics, AI, and experimentation. With a blend of performance marketing and data technology, KINESSO empowers clients to unlock the full potential of their consumer insights. As a unified entity composed of Matterkind, Reprise, and Kinesso, we are a global leader with over 6,000 employees operating in more than 60 countries. Learn more at www.KINESSO.com.

Why Join Us?

At KINESSO, we value trust, freedom, and ownership. We offer flexible working hours, allowing employees to manage their time effectively. We believe in the power of productivity, ability, and attitude, and offer a unique opportunity to shape the future of a rapidly growing organization.