Omnicom Media Group US Annalect
Senior Analyst, Data Science
Omnicom Media Group US Annalect, Chicago, Illinois, United States, 60290
About Annalect
Annalect is the Data & Technology arm of Omnicom Media Group
Annalect's 4,000+ innovators leverage data and technology to help clients across Omnicom build relationships that matter - whether that means fostering consumers' trust in brands, building new experiences, or delivering advanced analytics where it's most needed. Annalect is the driving force behind Omni, Omnicom's unique open operating system, which works hand-in-hand with clients' and partners' data and tools, to orchestrate better marketing outcomes.
Annalect's unique approach to data and technology - one that relies on transparency, neutrality, and interoperability - allows us to deliver purpose-built and scalable solutions that make data actionable. Our advanced teams of product leaders, data scientists, consultants, and engineers enable us to meet the business goals of our internal and external clients.
Team Overview
We are a team of engaged data-curious professionals who continuously seek new and improved ways to learn from our extensive data assets. We share ideas, code, outcomes, and credit for our collective efforts. We're looking for explorative, independent data scientists to grow with us as we tackle ever-changing challenges.
Position Overview
Go Engineer - High-Performance Ad-Tech Infrastructure
We are seeking an engineer highly skilled in Go, Python and Kubernetes to help build the next generation of real-time, high-frequency ad-tech systems. You'll join a collaborative team of engineers and data scientists focused on shaping and optimizing ad inventory traffic at scale. Your work will directly impact ad performance by enabling ultra-low latency decisioning, all running on containerized microservices orchestrated in Kubernetes.
Key Responsibilities Design & build high throughput, ultra--low- -latency Go microservices packaged as Docker containers and orchestrated with Kubernetes. Optimize performance (CPU, memory, GC, serialization, networking) to sustain ~100 000 requests / sec while maintaining sub-5 ms p99 latency on commodity x86 hardware (10 vCPU • 10 GiB RAM). Package & secure containers ( Leverage Python for data preparation pipelines, basic ML inference, test harnesses, and ad- hoc- analysis supporting the Go runtime. Benchmark & load -test services with tools such as k6, Vegeta, and internal gobench suites; profile and tune until latency and error rate- SLAs are consistently met. Collaborate & document-create clear technical documentation, runbooks, and mentor team members in best practices for performance, reliability, and data science- integration. Required Skills And Qualifications
Building production systems in Go (goroutines, channels, context, pprof). Docker & Kubernetes (probes, security context, Helm). Python for scripting and data science, with working knowledge of pandas, NumPy, scikit-learn-, and common ML workflows. AWS (EKS/ECS, ECR, S3, IAM, CloudWatch, CodeBuild/Pipelines). Docker Hub registry workflows (image tagging, SemVer, vulnerability scanning). Strong PostgreSQL skills Prometheus/OpenTelemetry metric design and visualization (Grafana). Bachelor's degree (or equivalent) in computer science, software engineering, information technology, mathematics or related field 2-4 years of relevant experience Preferred Skill And Qualifications
Familiarity with container security scanning tools (Sonatype IQ, Trivy, Snyk). Infrastructure-as-Code experience with Argo CD, Terraform, or Pulumi. Experience serving ML models in production (ONNX, TorchServe, FastAPI). Additional languages such as Rust or TypeScript. Exposure to high-frequency, real-time data environments (ad-tech, trading, gaming). Perks of working at Annalect
Culture! We have an incredibly fun, collaborative environment that encourages engagement and work/life balance Generous PTO that includes vacation days, personal days, a fantastic Summer Friday program and extended time off around the holiday season. As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a "startup" - we move fast, break things, and innovate.
#LI-CM1
This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.
Compensation Range
$80,500-$115,000 USD
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
Review Our Recruitment Privacy Notice
Annalect is the Data & Technology arm of Omnicom Media Group
Annalect's 4,000+ innovators leverage data and technology to help clients across Omnicom build relationships that matter - whether that means fostering consumers' trust in brands, building new experiences, or delivering advanced analytics where it's most needed. Annalect is the driving force behind Omni, Omnicom's unique open operating system, which works hand-in-hand with clients' and partners' data and tools, to orchestrate better marketing outcomes.
Annalect's unique approach to data and technology - one that relies on transparency, neutrality, and interoperability - allows us to deliver purpose-built and scalable solutions that make data actionable. Our advanced teams of product leaders, data scientists, consultants, and engineers enable us to meet the business goals of our internal and external clients.
Team Overview
We are a team of engaged data-curious professionals who continuously seek new and improved ways to learn from our extensive data assets. We share ideas, code, outcomes, and credit for our collective efforts. We're looking for explorative, independent data scientists to grow with us as we tackle ever-changing challenges.
Position Overview
Go Engineer - High-Performance Ad-Tech Infrastructure
We are seeking an engineer highly skilled in Go, Python and Kubernetes to help build the next generation of real-time, high-frequency ad-tech systems. You'll join a collaborative team of engineers and data scientists focused on shaping and optimizing ad inventory traffic at scale. Your work will directly impact ad performance by enabling ultra-low latency decisioning, all running on containerized microservices orchestrated in Kubernetes.
Key Responsibilities Design & build high throughput, ultra--low- -latency Go microservices packaged as Docker containers and orchestrated with Kubernetes. Optimize performance (CPU, memory, GC, serialization, networking) to sustain ~100 000 requests / sec while maintaining sub-5 ms p99 latency on commodity x86 hardware (10 vCPU • 10 GiB RAM). Package & secure containers ( Leverage Python for data preparation pipelines, basic ML inference, test harnesses, and ad- hoc- analysis supporting the Go runtime. Benchmark & load -test services with tools such as k6, Vegeta, and internal gobench suites; profile and tune until latency and error rate- SLAs are consistently met. Collaborate & document-create clear technical documentation, runbooks, and mentor team members in best practices for performance, reliability, and data science- integration. Required Skills And Qualifications
Building production systems in Go (goroutines, channels, context, pprof). Docker & Kubernetes (probes, security context, Helm). Python for scripting and data science, with working knowledge of pandas, NumPy, scikit-learn-, and common ML workflows. AWS (EKS/ECS, ECR, S3, IAM, CloudWatch, CodeBuild/Pipelines). Docker Hub registry workflows (image tagging, SemVer, vulnerability scanning). Strong PostgreSQL skills Prometheus/OpenTelemetry metric design and visualization (Grafana). Bachelor's degree (or equivalent) in computer science, software engineering, information technology, mathematics or related field 2-4 years of relevant experience Preferred Skill And Qualifications
Familiarity with container security scanning tools (Sonatype IQ, Trivy, Snyk). Infrastructure-as-Code experience with Argo CD, Terraform, or Pulumi. Experience serving ML models in production (ONNX, TorchServe, FastAPI). Additional languages such as Rust or TypeScript. Exposure to high-frequency, real-time data environments (ad-tech, trading, gaming). Perks of working at Annalect
Culture! We have an incredibly fun, collaborative environment that encourages engagement and work/life balance Generous PTO that includes vacation days, personal days, a fantastic Summer Friday program and extended time off around the holiday season. As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a "startup" - we move fast, break things, and innovate.
#LI-CM1
This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.
Compensation Range
$80,500-$115,000 USD
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
Review Our Recruitment Privacy Notice