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Data Science Manager, Mid-Level
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Data Science Manager, Mid-Level
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Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Blend is seeking a versatile Data Scientist with experience in ML Ops and data engineering. This role will drive advanced analytics solutions by collaborating with internal practice leaders and client stakeholders to translate complex business challenges into actionable Data Science solutions. Responsibilities: • 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 • 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. • 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. • 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: • 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: • Exposure to ML Ops tools such as MLflow, Kubeflow, or SageMaker • Experience working in Agile environments with cross-functional teams Company: 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. Founded in 2016, the company is headquartered in Columbia, Maryland, USA, with a team of 501-1000 employees. The company is currently Late Stage. Blend has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Science Manager jobs in
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Data Science Manager, Mid-Level
role at
Jobright.ai 1 day ago Be among the first 25 applicants Join to apply for the
Data Science Manager, Mid-Level
role at
Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Blend is seeking a versatile Data Scientist with experience in ML Ops and data engineering. This role will drive advanced analytics solutions by collaborating with internal practice leaders and client stakeholders to translate complex business challenges into actionable Data Science solutions. Responsibilities: • 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 • 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. • 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. • 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: • 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: • Exposure to ML Ops tools such as MLflow, Kubeflow, or SageMaker • Experience working in Agile environments with cross-functional teams Company: 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. Founded in 2016, the company is headquartered in Columbia, Maryland, USA, with a team of 501-1000 employees. The company is currently Late Stage. Blend has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Science Manager jobs in
Columbia, MD . Senior Director of Data Science (AI Speciality)
District of Columbia, United States $225,000.00-$250,000.00 1 week ago Data Science and Engineering Manager 2 - R10198377-2
Annapolis Junction, MD $149,400.00-$234,700.00 1 month ago Data Science and Engineering Manager 2 - R10198377
Linthicum Heights, MD $149,400.00-$234,700.00 1 month ago Director, Commercial Analytics & Data Science
Washington, DC $181,136.00-$205,000.00 4 days ago Bethesda, MD $101,520.00-$171,000.00 15 hours ago Force Development LIN Manager and Analytics, DOD Support Services
FLEX Senior Manager, Research and Analytics - Gen AI Studio
Senior Manager, Corporate Development & Strategic Analytics
Rockville, MD $146,000.00-$197,000.00 3 days ago Washington, DC $153,000.00-$216,000.00 6 days ago Washington, DC $108,000.00-$120,000.00 2 weeks ago Washington, DC $175,000.00-$200,000.00 3 weeks ago Bethesda, MD $101,520.00-$171,000.00 3 days ago District of Columbia, United States $98,700.00-$207,680.00 15 hours ago Baltimore, MD $143,165.59-$196,852.70 3 hours ago Washington, DC $142,600.00-$325,800.00 1 day ago Senior Manager, Commercial Analytics, US Oncology
Gaithersburg, MD $138,296.00-$207,444.00 2 days ago Washington, DC $134,380.00-$242,040.00 1 week ago Sr. Manager of Data Management & Analytics
Mid-Level Manager, Digital Analytics & Experimentation
Clinical Design Analytics Senior Manager
Associate Manager, New Verticals - Shopping Experience Strategy & Operations
Web & Analytics Manager (Job ID: 2025-3699)
Bethesda, MD $108,300.00-$173,400.00 2 months ago Life Sciences – Compliance, Risk Management and Investigations | Senior Director
Washington DC-Baltimore Area $99,000.00-$232,000.00 5 days ago Rockville, MD $90,000.00-$120,000.00 17 hours ago Washington, DC $120,000.00-$145,000.00 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr