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Data Science Manager (Multiple vacancies)

Role overview

Qualifications

  • Master’s degree in Statistics, Mathematics, Computer Science, Data Science, Data Analytics, Business Analytics, or a related quantitative field
  • Two years of related work experience in advanced data science
  • Experience with predictive modeling and statistical analysis
  • Familiarity with advanced data science software languages and tools

Responsibilities

  • Lead projects that translate business problems into data science solutions
  • Develop project plans, including milestones, risks, and contingency plans
  • Assemble and evaluate large, complex data sets from clients and external sources
  • Build analytics tools for actionable insights into key business metrics

Key facts

  • Remote from: Maryland (USA)
  • Full time
  • Senior (5-10 years)
  • Data Engineering Manager
  • English

Hard skills

Other skills

  • Communication
  • Team Leadership

About the company

Blend360 logo

Blend360

Artificial Intelligence & Machine Learning Services

Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.

Company details

Company typeScaleup
IndustryArtificial Intelligence & Machine Learning Services
Company size501 - 1000

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Job description

Company 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.

Job Description

Duties: Leads projects or workstreams that translate business problems into workable data science solutions, proposing different approaches and overseeing delivery of predictive analytics, models, and algorithms. Develops project plans, including milestones, dates, owners, risks, and contingency plans. Assembles and evaluates for applicability large, complex data sets from clients and external sources, managing the selection criteria and process for identifying the data and necessary data transformations that meet functional business requirements. Builds analytics tools to communicate actionable insights into customer acquisition, customer retention, margin improvement, operational efficiency, and other key business performance metrics. Performs data cleaning/hygiene and quality control, and integrates data from both client internal and external data sources on advanced data science platforms. Summarizes and describes data and data issues. Conducts statistical data analysis, including exploratory data analysis and data mining, and document key insights and findings toward decision-making. Trains, validates, and cross-validates predictive models and machine learning algorithms using state of the art data science techniques and tools. Documents predictive models/machine learning results that can be incorporated into client-deliverable documentation. Assists clients to deploy models and algorithms within their own architecture. Manages data analyst project work.

Salary Range: $139,547-$160,000 

Remote work permitted from any U.S. location. Domestic travel 10% of time to unanticipated client sites for meetings and project-related matters.

Apply to jobs@blend360.com w/ subject “Data Science Manager.”

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Qualifications

Requirements: Master’s degree in Statistics, Mathematics, Computer Science, Data Science, Data Analytics, Business Analytics, or a related quantitative field. Two years of related work experience in advanced data science, to include two years of experience with each of the following predictive modeling and statistical analysis; advanced data science software languages and tools; query languages, semi-structured data, and relational databases, including query authoring and tuning; and cloud-based computing and storage platforms.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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