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Data Science Manager (Multiple Vacancies)

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.

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CEO of Blend360
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Patrick Hennessy
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Average salary estimate

$135597 / YEARLY (est.)
min
max
$126194K
$145000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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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 seamles...

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Full-time, remote
DATE POSTED
April 26, 2025

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