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Lead Data Scientist
2 months ago
Company Description
BLEND360 is an award-winning, new breed Data & AI Solutions Company focused on powering exceptional results for our Fortune 500 clients. We are a growing company—born at the intersection of advanced analytics, data and technology.
Who We Are
People are everything here at BLEND360. We are inspired by advancing our Client’s most critical initiatives, products and projects by matching our clients with the right talent. BLEND360 has been among the Inc. 5000 fastest growing companies 8 years in a row, and we’re very proud of our World Class NPS score. Our success is a direct result of our passion for advancing the careers of the talented people we work with every day. When you work at BLEND360, you will:
Collaborate with a smart, passionate group of people who are invested in your success.
Partner with an impressive list of clients, who value Blend360’s services and the world class experience we deliver with every engagement.
Thrive with a company and leadership team who are committed to growth.
Job Description
We spend the majority of our time on getting data into proper shape, performing statistical analyses, developing predictive models and machine learning algorithms to solve clients’ business problems. We evaluate different sources of data, discover patterns hidden within raw data, create insightful variables, and develop competing models with different machine learning algorithms. We validate and cross validate our recommendations to make sure our recommendations will perform well over time.
Main Responsibilities
The role will also include significant consulting / client facing work comprised of:
Working with practice leaders and clients to understand clients’ business problem, industry context, data sources, potential risk and constraints.
Problem solve with practice leaders to translate the business program into a solvable Data Science problem, formulate different approaches, outline pros and cons for each approach
Work with practice leaders to get client feedback, get alignment on approaches, deliverables, and overall timeline
Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform
Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings
Create insightful and/or predictive summary variables from granular-level data
Develop, validate, and cross-validate predictive models and/or machine learning algorithms using Advanced Data Science techniques and tools
Document predictive models / machine learning results that can be incorporated into client-deliverable documentation
Document key insights, recommend actions client could take, and quantify business impact
Assist client to turn models and algorithms into implementable production codes
Qualifications
Master's degree in Statistics, Math, Operation Research, Economics, Advanced Analytics, Computer Sciences, Engineering
3+ years of Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geo-spatial analytics, time series forecasting, optimization
Experience with two or more Advanced Data Science software languages (R, Python, Matlab, Perl, Java, PHP)
Experience with structured or un-structured data analysis and tools (SQL, Hadoop, Spark, NoSQL, MySQL, MariaDB, Hive, Pig, etc.)
Comfortable with cloud-based platforms (AWS, Azure, Google)
Experience with Google Analytics, Adobe Analytics, Optimizely a plus
Experience in digital marketing a plus
Experience Leading a Team/Projects
Strong communication skills
Additional Information
A diverse workforce is a strong workforce
To deliver growth at BLEND360 and for our clients, we believe as a Talent Solutions Company, 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, and 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, and ultimately the workforce we provide our clients. We will communicate our journey in the spirit of transparency and shared learning.
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