Data Science Manager (Multiple Vacancies)

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Master’s degree in Statistics, Mathematics, Data Analytics, or a related quantitative field., 2 years of experience in predictive modeling and statistical analysis., Proficiency in R, Python, or Scala, along with SQL and relational databases., Experience with cloud-based platforms such as AWS, Azure, or Google..

Key responsibilities:

  • Translate business problems into data science solutions and develop project plans.
  • Assemble and clean large data sets from various sources to meet business requirements.
  • Conduct statistical analysis and document insights for decision-making.
  • Train and validate predictive models and assist clients in deploying them.

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Blend360 Professional Services Scaleup https://www.blend360.com/
501 - 1000 Employees
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Job description

Company Description

Blend360 is an award-winning provider of data, analytics, and talent solutions for Fortune 500 companies. The company has made the Inc. 5000 list of Fastest Growing Companies every year they have been in business and has been awarded a world-class ranking in client satisfaction for the past three years. It has over 600 employees with offices domestically in NY, MD, CO and CA and internationally in India and EMEA.

Job Description

Data Science Manager (multiple vacancies)

 

Duties: Problem-solve with practice leaders to translate business problems into workable data science solutions, proposing different approaches. Develop project plans, including milestones, dates, owners, risks, and contingency plans. Assemble large, complex data sets from clients and external sources that meet functional business requirements. Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Perform data cleaning/hygiene and quality control , and integrate data from both client internal and external data sources on advanced data science platforms. Summarize and describe data and data issues. Conduct statistical data analysis, including exploratory data analysis and data mining, and document key insights and findings toward decision-making. Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art data science techniques and tools. Document predictive models/machine learning results that can be incorporated into client-deliverable documentation. Assist clients to deploy models and algorithms within their own architecture. Manage data analyst project work.

 

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

 

Salary and Benefits: $126,194–$145,000 per year. Range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.   

 

 

 

 

 

 

 

Qualifications

Requirements: Master’s degree in Statistics, Mathematics, Data Analytics, Business Analytics, Quantitative Methods, Operations Research, or a related quantitative field. 2 years of related work experience in advanced data science, to include each of the following: 2 years of experience with predictive modeling and statistical analysis; 2 years of experience with one of the following advanced data science software languages: R, Python, or Scala; 2 years of experience with SQL and relational databases, including query authoring and tuning; and 2 years of experience with one of the following cloud-based platforms: AWS, Azure, or Google.

 

Apply to [email protected] w/ subject “Data Science Manager.”

 

Blend360, LLC, 10221 Wincopin Circle, 3rd Floor, Columbia, MD 21044.

Additional Information

A diverse workforce is a strong workforce
To deliver growth at BLEND360 and for our clients, we have a responsibility and unique opportunity to positively impact the workforce. Diversity has played a critical role in our history, our growth, and continues to have a profound impact on our success.  We are determined to have equality in the workplace, within our team and as an extension of our clients’ team. 

This is not the work of the moment, this requires continued learning and purposeful actions.  We are investing resources to understand and improve the sourcing, selection and retention of the talent we hire.

Required profile

Experience

Industry :
Professional Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving

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