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2 jobs found

1mo ago

Sr Machine Learning Engineer - Marketing and Corporate Systems (ML Ops)

Target Brooklyn Park, MN

Brooklyn Park, MN

1mo ago Closed

$98k - $176k/yr Full time Marketing Ai Ml Analytics

This position is no longer accepting applications (closed Jul 16, 2026).

Job Description

Senior AI/ML Engineer within Target Data Sciences will design, implement, and deploy machine learning solutions to build and optimize guest audiences for highly personalized offers, collaborating across product, engineering, marketing, and analytics. Based in Brooklyn Park, MN with a hybrid work arrangement, the role offers a salary range of USD 98,000 to 176,000 per year.

Responsibilities

Partner with cross-functional teams in product, engineering, marketing, and analytics to define strategy, lead experiments, and ensure personalization yields measurable impact for guests and the business.
Design, implement, and optimize machine learning solutions in production environments.
Apply best practice software design, participate in code reviews, and maintain a well-tested codebase with proper documentation.
Lead training sessions, present work to both technical and non-technical peers and leaders, and translate business priorities into requirements and scalable solutions.
Contribute to a Data Sciences team responsible for creating and maintaining audiences for highly personalized guest offers.

Requirements

A four-year degree in quantitative fields (Science, Technology, Engineering, Mathematics) or equivalent experience.
Master of Science in Computer Science, Applied Mathematics, Statistics, Physics, or equivalent industry experience.
Three or more years of end-to-end machine learning application development including data pipelines, model optimization, deployment, and API design.
Experience deploying machine learning algorithms into production environments.
Strong proficiency in Python programming.
Experience with ML frameworks such as PyTorch, TensorFlow, XGBoost, scikit-learn, and ONNX.
Extensive experience with one or more cloud ML services such as GCP Vertex AI, Azure ML, or SageMaker.
Experience using distributed training frameworks like Spark, Ray, or TensorFlow Distributed.
Experience with serving frameworks such as TorchServe, TensorFlow Serving, or Serving/FastAPI.
Solid understanding of Big Data technologies, particularly the Hadoop ecosystem (Spark, Kafka, Hive, etc.).
Experience creating and maintaining CI/CD pipelines for automated model deployment and testing.
Ability to collaborate with applied data scientists, software engineers, and product managers to translate business requirements into machine learning solutions at scale.
Excellent communication skills with the ability to convey data-driven narratives through appropriate visualizations, graphs, and storytelling.
Self-driven and results-oriented, capable of meeting tight timelines.
Motivated team player with the ability to collaborate effectively across a global team.

Technologies

Python
PyTorch
TensorFlow
xgboost
scikit-learn
ONNX
GCP Vertex AI
Azure ML
SageMaker
Spark
Ray
TensorFlow Distributed
TorchServe
TensorFlow Serving
FastAPI
Hadoop
Kafka
Hive
CI/CD pipelines

Benefits

Health benefits (medical, vision, dental, life insurance)
401(k)
Employee discount
Short-term disability
Long-term disability
Paid sick leave
Paid national holidays
Paid vacation
Education benefits

About You

A four-year degree in quantitative disciplines or equivalent experience.
Master of Science in Computer Science, Applied Mathematics, Statistics, Physics, or related field, or equivalent industry experience.
Three or more years of end-to-end machine learning application development including data pipelines, model optimization, deployment, and API design.
Experience deploying machine learning algorithms into production environments.
Strong Python programming skills.
Experience with ML frameworks such as PyTorch, TensorFlow, xgboost, scikit-learn, and ONNX.
Extensive experience with cloud ML services like GCP Vertex AI, Azure ML, or SageMaker.
Experience with distributed training frameworks (Spark, Ray, TensorFlow Distributed).
Experience with serving frameworks (TorchServe, TensorFlow Serving, FastAPI).
Good understanding of Big Data technologies in the Hadoop ecosystem (Spark, Kafka, Hive).
Experience building CI/CD pipelines for automated model deployment and testing.
Ability to collaborate with applied data scientists, software engineers, and product managers to translate business requirements into scalable ML solutions.
Excellent communication skills with the ability to present data-driven stories using visualizations and narratives.
Self-motivated, results-oriented, able to meet tight timelines.
Motivated, collaborative team player capable of working with a global team.

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2mo ago

CRM and Marketing Analytics Coordinator

GPO Federal Credit Union Utica, NY

Utica, NY

2mo ago Closed

$26 - $32/hr Full time Marketing Analytics Campaign Management

This position is no longer accepting applications (closed Jun 8, 2026).

Job Description

The CRM and Marketing Analytics Coordinator role at GPO Federal Credit Union is an onsite position in Utica, NY focused on enabling data driven marketing, audience segmentation, reporting, and CRM initiatives to enhance member experiences and support growth. The role offers a hourly compensation range of USD 26 to 32.

Responsibilities

Manage day to day use and upkeep of the CRM platform, ensuring data accuracy, consistency, and proper handling of member information.
Serve as the primary CRM resource for reporting, segmentation setup, and campaign support.
Produce recurring and ad hoc reports to monitor marketing campaign performance, member engagement, product adoption, flash sale incentives, and other key indicators.
Evaluate CRM data to identify trends and opportunities, delivering clear, actionable insights to the VP of Marketing and senior leadership.
Analyze internal member and product data to support targeted marketing efforts and improved member experiences.
Assist with external market and competitive research, including demographic analysis, consumer trends, and peer benchmarking.
Support market analysis related to strategic initiatives such as branch planning, product development, and community expansion.
Monitor competitor and peer marketing activity to inform goals, expectations, and opportunities for differentiation.
Assist in executing marketing campaigns by aiding with list creation, segmentation logic, and campaign tracking.
Maintain and update member segments and personas to ensure relevance and consistent application across marketing initiatives.
Assist in evaluating campaign effectiveness and identifying opportunities to improve targeting, messaging, and results.
Support CRM integrations and collaborate with internal teams and third party partners to ensure effective data flow and reporting.
Collaborate with Marketing, Member Experience, branch staff, and other departments to ensure CRM insights support shared objectives.
Help document CRM processes, reporting standards, and segmentation guidelines to promote consistency and efficiency.

Requirements

Bachelor’s degree in Marketing, Business, Analytics, Data Science, Communications, or a related field preferred; equivalent experience considered.
1–3 years of experience in marketing analytics, CRM support, data analysis, or a related role.
Experience with a CRM platform, marketing automation system, or data reporting tools; financial services experience is a plus but not required.
Strong analytical and problem solving skills with the ability to interpret data and identify meaningful trends.
Proficiency in Microsoft Excel and reporting tools; comfortable working with large datasets.
Familiarity with marketing campaigns, audience segmentation, and performance measurement concepts.
Ability to translate data and findings into clear, concise summaries for non-technical audiences.
Strong organizational skills with attention to detail and the ability to manage multiple projects and deadlines.
Curious, self-motivated learner with an interest in data driven marketing and member experience.
Effective written and verbal communication skills.
Ability to collaborate across teams while also managing independent tasks.
Interest in financial services, member focused organizations, or credit unions is preferred.
Understanding of data privacy, security, and compliance principles is a plus.

Technologies

Microsoft Excel
CRM platform
Marketing automation system

Physical Demands

Prolonged periods of sitting and computer use.
Flexibility to work evenings or weekends for special events and sponsorship activations.
Decision making: exercise sound judgement when performing duties and in alignment with credit union policies and procedures.

Financial Responsibilities

Safeguard the credit union’s assets by ensuring policies and procedures are followed.

Communication

Effectively collaborate with the Marketing Team, branch and department managers, and other key personnel to ensure initiatives are understood and coordinated.
Communicate efficiently with vendors and external resources to meet GPO’s objectives.

Equipment Used

Proficiency in design software and various data mining and processing programs.
Ability to travel as needed to support work commitments and marketing initiatives.

Work Environment

The position is based at the Downtown Utica Bleecker Street Building in a professional office setting. The role requires promoting a positive, courteous work environment and flexibility with working hours to support events as needed.

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Marketing Automation Data Jobs

Sr Machine Learning Engineer - Marketing and Corporate Systems (ML Ops)

CRM and Marketing Analytics Coordinator

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