Blend360
Tech / AI / Software
DataScienceManager
Neural analysis suggests this role is
optimal for mid candidates.
“Data Science Manager at Blend360. Skills: Data Science, AI, Generative AI, LLMs, Python, SQL, Spark, cloud data platforms, ML Ops. 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.”
Industry & Context.
solve complex business challenges using data science and AI-driven approaches; Translate business needs into actionable data science solutions
What They're Looking For.
Must Have
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, communication and collaboration skills, including experience engaging directly with clients
Nice to Have
Exposure to ML Ops tools such as MLflow, Kubeflow, or SageMaker, Experience working in Agile environments with cross-functional teams
What You'll Do.
Partner with practice leaders and clients to understand business problems
Translate business needs into actionable data science solutions
evaluating multiple approaches and clearly communicating trade-offs.
Collaborate with stakeholders to align on methodology
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.
Design and implement production-grade AI solutions leveraging LLMs
retrieval-augmented generation (RAG)
and generative AI agents.
Optimize prompt design
and pipelines for performance
stateful agentic systems that utilize external APIs/tools and support robust reasoning.
Deploy GenAI models and pipelines in production (API
or streaming) with a focus on scalability and reliability.
Develop evaluation frameworks to monitor grounding
Implement safety and reliability measures such as prompt-injection protection
and tool-call limits.
Work closely with Product
and ML Ops to deliver robust
high-quality AI capabilities end-to-end.
Develop and manage detailed project plans including milestones
and contingency plans.
Create and maintain efficient data pipelines using SQL
and cloud-based big data technologies within client architectures.
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
and performance metrics.
Perform exploratory data analysis
and statistical modeling to uncover insights and inform strategic decisions.
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.
How You'll Work.
Team & Collaboration
Collaborate with practice leaders, engineers, and cross-functional stakeholders; Collaborate with AI and engineering teams; Work closely with Product, Engineering, and ML Ops
Communication Scope
clearly communicating trade-offs; communication and collaboration skills, including experience engaging directly with clients
Process & Methodology
Develop and manage detailed project plans including milestones, risks, owners, and contingency plans.
Full Job 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](https://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 genera
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