Lead Data Scientist

Company Description

BLEND360 is a distinguished, innovative Data & AI Solutions Company committed to driving outstanding outcomes for our Fortune 500 clients. We are an expanding company—originated at the crossroads of advanced analytics, data, and technology.

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Who we are:

At BLEND360, people are our greatest asset. We are driven by propelling our Client's most significant initiatives, products, and projects by pairing our clients with the right skillsets. BLEND360 has been among the Inc. 5000 fastest-growing companies for 8 consecutive years, and we take great pride in our World-Class NPS score. Our success stems from our fervor for advancing the careers of the talented individuals we collaborate with daily. When you join BLEND360, you will:

• Work in tandem with a brilliant, passionate team who are invested in your success.
• Join forces with a roster of clients who appreciate Blend360’s services and the world-class experience we provide in every project.
• Flourish in a company and under a leadership that champions growth.

Job Description

Most of our time is dedicated to reshaping data, conducting statistical analyses, constructing predictive models and machine learning algorithms to address clients’ business challenges. We scrutinize various data sources, uncover patterns within raw data, generate informative variables, and create contrasting models using different machine learning algorithms. We validate and cross-validate our recommendations to ensure they will perform consistently in the long run.

Main Responsibilities

• This role will entail a significant amount of consulting/client-facing tasks, including:
• Cooperating with practice leaders and clients to comprehend clients’ business problems, industry context, data sources, potential risks, and constraints.
• Brainstorm with practice leaders to convert the business program into a solvable Data Science problem, strategize varied approaches, outline the advantages and disadvantages of each approach
• Work towards obtaining client feedback with practice leaders, aligning on approaches, deliverables, and overall timeline
• Perform data purification, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform
• Carry out statistical data analysis, such as exploratory data analysis, data mining, and document key insights and findings
• Generate 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 outcomes to be incorporated into client-deliverable documentation
• Document crucial insights, recommend client actions, and quantify business impact
• Support the client in transforming 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, including predictive modeling, statistical analysis, machine learning, text mining, geo-spatial analytics, time series forecasting, optimization
• Familiarity with two or more Advanced Data Science software languages (R, Python, Matlab, Perl, Java, PHP)
• Experience in structured or unstructured data analysis and tools (SQL, Hadoop, Spark, NoSQL, MySQL, MariaDB, Hive, Pig, etc.)
• Comfort level with cloud-based platforms (AWS, Azure, Google)
• Experience with Google Analytics, Adobe Analytics, Optimizely a plus
• Prior experience in digital marketing a plus

Additional Information

A diverse workforce is a strong workforce
At BLEND360, we consider diversity crucial for the growth of our company and our clients. As a Talent Solutions Company, we recognize our responsibility and unique position to cultivate a positive impact on the workforce. Diversity has greatly influenced our history, our expansion, and continues to significantly contribute to our achievements. We are dedicated to achieving equality in our workplace, within our team and within the teams of our clients.

This is not a fleeting obligation, it calls for continuous learning and deliberate actions. We are allocating resources to understand and enhance the recruitment, selection, and retention of the talent we employ, and ultimately the workforce we offer to our clients. We are committed to communicating our progress with honesty and a spirit of shared learning.