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Data Science Manager

Blend360 · Columbia, MD, United States · Active · $125,000–$160,000 / year · SmartRecruiters

Job facts

Field	Value
Company	Blend360
Title	Data Science Manager
Normalized title	-
Department / team	N/A
Location	Columbia, MD, United States
Work model	-
Employment type	Full Time
Salary	$125,000–$160,000 / year
Status	active
ATS provider	SmartRecruiters
Posted / first seen	2026-04-22 / 2026-05-31
Changed / last seen	2026-05-31 / 2026-06-06

Related slices

Page	What it contains	Open
Company jobs	Active postings from Blend360.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through SmartRecruiters.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
City jobs	Active postings in Columbia.	Open
Department jobs	Active postings in N/A.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	Blend360
Source	5f84d9dd-a554-44b2-bad9-46f0d01aba99
ATS provider	SmartRecruiters

Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you’ll collaborate with practice leaders, engineers, and cross-functional stakeholders to solve complex business challenges using data science and AI-driven approaches. You’ll work on end-to-end data science initiatives, with opportunities to design and implement cutting-edge generative AI (GenAI) and LLM-powered solutions. Key Responsibilities Data Science & Analytics Partner with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints. Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs. Collaborate with stakeholders to align on methodology, deliverables, and project roadmaps. Leverage Machine Learning and Data Analysis to optimize marketing campaigns Conduct A/B tests to improve campaign performance measure campaign effectiveness, and increase engagement and conversion rates. AI & Generative AI Collaboration In addition to traditional data science responsibilities, you will collaborate with AI and engineering teams to: Design and implement production-grade AI solutions leveraging LLMs, transformers, retrieval-augmented generation (RAG), agentic workflows, and generative AI agents. Optimize prompt design, workflows, and pipelines for performance, accuracy, and cost-efficiency. Build multi-step, stateful agentic systems that utilize external APIs/tools and support robust reasoning. Deploy GenAI models and pipelines in production (API, batch, or streaming) with a focus on scalability and reliability. Develop evaluation frameworks to monitor grounding, factuality, latency, and cost. Implement safety and reliability measures such as prompt-injection protection, content moderation, loop prevention, and tool-call limits. Work closely with Product, Engineering, and ML Ops to deliver robust, high-quality AI capabilities end-to-end. Develop and manage detailed project plans including milestones, risks, owners, and contingency plans. Create and maintain efficient data pipelines using SQL, Spark, and cloud-based big data technologies within client architectures. Collect, clean, and integrate large datasets from internal and external sources to support functional business requirements. Build analytics tools that deliver insights across domains such as customer acquisition, operations, and performance metrics. Perform exploratory data analysis, data mining, and statistical modeling to uncover insights and inform strategic decisions. Train, validate, and tune predictive models using modern machine learning techniques and tools. Document model results in a clear, client-ready format and support model deployment within client environments. Required Skills & Experience 5+ years of hands-on experience in Data Science, including model building and ML Ops Experience in email marketing and direct marketing Experience managing people Proficiency in Python , SQL , and tools like Pandas , Scikit-learn , NLTK / spaCy , and Spark Familiarity with digital marketing ecosystem (e.g., clickstream analytics) and recommendation systems Experience deploying models via APIs or integrating them into batch processing pipelines Working knowledge of cloud data platforms (e.g., AWS S3, Redshift, GCP, Azure) Ability to manage data pipelines and ETL processes with a solid understanding of data engineering best practices Strong communication and collaboration skills, including experience engaging directly with clients Preferred Qualifications Exposure to ML Ops tools such as MLflow , Kubeflow , or SageMaker Experience working in Agile environments with cross-functional teams The starting pay range for this role is $125,000 - $160,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.

Full job record

Job ID	510aa0c741e51bc090ddf61b7cf16432e35d105f
Org ID	cc79bc56-9085-4d67-9551-ca1d878b9321
Source ID	5f84d9dd-a554-44b2-bad9-46f0d01aba99
Board ID	5f84d9dd-a554-44b2-bad9-46f0d01aba99
Provider	smartrecruiters
Provider Job Key	744000122326369
Title	Data Science Manager
Normalized Title	—
Status	active
Active	yes
Location Text	Columbia, MD, United States
Department	N/A
Team	—
Employment Type	full_time
Workplace Type	—
Remote Policy	—
Country	United States
Region	MD
City	Columbia
Salary Raw	Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you’ll collaborate with practice leaders, engineers, and cross-functional stakeholders to solve complex business challenges using data science and AI-driven approaches. You’ll work on end-to-end data science initiatives, with opportunities to design and implement cutting-edge generative AI (GenAI) and LLM-powered solutions. Key Responsibilities Data Science & Analytics Partner with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints. Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs. Collaborate with stakeholders to align on methodology, deliverables, and project roadmaps. Leverage Machine Learning and Data Analysis to optimize marketing campaigns Conduct A/B tests to improve campaign performance measure campaign effectiveness, and increase engagement and conversion rates. AI & Generative AI Collaboration In addition to traditional data science responsibilities, you will collaborate with AI and engineering teams to: Design and implement production-grade AI solutions leveraging LLMs, transformers, retrieval-augmented generation (RAG), agentic workflows, and generative AI agents. Optimize prompt design, workflows, and pipelines for performance, accuracy, and cost-efficiency. Build multi-step, stateful agentic systems that utilize external APIs/tools and support robust reasoning. Deploy GenAI models and pipelines in production (API, batch, or streaming) with a focus on scalability and reliability. Develop evaluation frameworks to monitor grounding, factuality, latency, and cost. Implement safety and reliability measures such as prompt-injection protection, content moderation, loop prevention, and tool-call limits. Work closely with Product, Engineering, and ML Ops to deliver robust, high-quality AI capabilities end-to-end. Develop and manage detailed project plans including milestones, risks, owners, and contingency plans. Create and maintain efficient data pipelines using SQL, Spark, and cloud-based big data technologies within client architectures. Collect, clean, and integrate large datasets from internal and external sources to support functional business requirements. Build analytics tools that deliver insights across domains such as customer acquisition, operations, and performance metrics. Perform exploratory data analysis, data mining, and statistical modeling to uncover insights and inform strategic decisions. Train, validate, and tune predictive models using modern machine learning techniques and tools. Document model results in a clear, client-ready format and support model deployment within client environments. Required Skills & Experience 5+ years of hands-on experience in Data Science, including model building and ML Ops Experience in email marketing and direct marketing Experience managing people Proficiency in Python , SQL , and tools like Pandas , Scikit-learn , NLTK / spaCy , and Spark Familiarity with digital marketing ecosystem (e.g., clickstream analytics) and recommendation systems Experience deploying models via APIs or integrating them into batch processing pipelines Working knowledge of cloud data platforms (e.g., AWS S3, Redshift, GCP, Azure) Ability to manage data pipelines and ETL processes with a solid understanding of data engineering best practices Strong communication and collaboration skills, including experience engaging directly with clients Preferred Qualifications Exposure to ML Ops tools such as MLflow , Kubeflow , or SageMaker Experience working in Agile environments with cross-functional teams The starting pay range for this role is $125,000 - $160,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.
Salary Min	125,000
Salary Max	160,000
Salary Currency	USD
Salary Period	year
Source URL	https://jobs.smartrecruiters.com/Blend360/744000122326369-data-science-manager
Apply URL	https://jobs.smartrecruiters.com/Blend360/744000122326369-data-science-manager?oga=true
First Seen At	2026-05-31 17:38:33Z
Last Seen At	2026-06-06 20:32:09Z
Last Checked At	2026-06-06 20:32:09Z
Last Changed At	2026-05-31 17:38:33Z
Inactive At	—
Source Posted At	2026-04-22 19:14:37Z
Source Updated At	—
Raw Payload Uri	s3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=blend360/date=2026-06-06/2026-06-06T20-32-06-764Z-f7ec57f691302fcc351aa85f2777cbd2433d04a9b4a83491694362eb9ae9e5e9.json

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    "id": "permanent",
    "label": "Full-time"
  }
}

Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/510aa0c741e51bc090ddf61b7cf16432e35d105f?include=descriptionJSON

GET https://api.bluedoor.sh/job-postings/v1/orgs/cc79bc56-9085-4d67-9551-ca1d878b9321JSON

GET https://api.bluedoor.sh/job-postings/v1/sources/5f84d9dd-a554-44b2-bad9-46f0d01aba99JSON

GET https://api.bluedoor.sh/job-postings/v1/jobs/510aa0c741e51bc090ddf61b7cf16432e35d105f/eventsJSON

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