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Data Science Manager
Data Science ManagerBlend360 • Columbia, MD, US
Data Science Manager

Data Science Manager

Blend360 • Columbia, MD, US
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Job Description

Job Description

Job Description

We are seeking a versatile Data Scientist  with experience in ML Ops  and data engineering . This role will drive advanced analytics solutions working closely with both internal practice leaders and client stakeholders.

Key Responsibilities

Business Understanding & Problem Solving

  • Collaborate with practice leaders and client teams to understand business problems, industry context, data sources, constraints, and risks.
  • Translate complex business challenges into actionable Data Science solutions, proposing multiple analytical approaches with pros and cons.
  • Gather stakeholder feedback, gain alignment on methods, deliverables, and roadmaps.
  • Skills to lead and manage large size projects that involve cross discipline team members and 3+ months project duration

Data Engineering & Pipeline Management

  • Create and maintain robust data pipelines, integrating internal and external data sources using tools like SQL, Spark, and cloud big data platforms (AWS, Azure, or GCP).
  • Assemble and transform large, complex datasets to meet functional business and modeling requirements.
  • Conduct data cleaning, quality control (QC), and diagnostic analysis to assess data integrity.

    • Statistical Analysis & Reporting

  • Perform exploratory data analysis (EDA), A / B Test, data mining, and statistical modeling to extract actionable insights.
  • Summarize data characteristics and identify potential data issues for stakeholders and decision-makers.
  • Contribute to written and visual documentation of insights, models, and analytical findings.

    • Model Development & ML Ops

  • Has experience on building predictive models in business applications, Understand modern machine learning algorithms and best practices.
  • Familiarie with model algorithm version control tools such as Git & GitHub / GitLab : , model deployment & cloud MLOps tools such as Docker, SageMaker, Azure ML.

    • Qualifications

    Required Skills & Experience

  • 5+ years of hands-on experience in Data Science, including model building and ML Ops
  • 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
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    Manager Data Science • Columbia, MD, US

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