BLEND360 is an award-winning,  new breed Data Science Solutions Company focused on powering exceptional results to our Fortune 500 clients. We are a  growing company—born at the intersection of advanced analytics, data and technology.  We are looking for a lead data scientists to join our team.  

Our new Lead Data Scientist will serve as an extension of the client’s current advanced analytics team.

The Details:

·       Location: East Coast

·       Duration: Full Time

·       Remote Options: Y

·       Benefits:  We offer benefits to our full-time consultants, those benefits include: Health, Vision, Dental, 401K plan, Life Insurance, Pretax Commuter Benefits, and an incredibly supportive team cheering you on!

What you’ll do:

In this role, you’ll work closely with our Pharma clients to enhance and optimize their current data science and advanced analytic capabilities. You’ll interface directly with the client to understand their business needs and goals. Using predictive modeling and machine learning models, you’ll enhance the client’s current data science offering. This is a highly-visible, hands-on role with statistical modeling pharmaceutical/medical data being at the core of the role.

Additionally, you’ll:

·        Be responsible for creating an optimizing offerings using the following models

o   ANCOVA/ANOVA

o   Clustering

o   Machine Learning Models

o   Media Mix Modeling

o   Linear Regression

o   Correlation

·        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 client to deploy models and algorithms within their own architecture 

·        Work with clients and practice leaders to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps 

·        Develop a project plans including milestones, dates, owners, and risks and contingency plans 

·        Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making 

Qualifications: 

·      Masters or  PHD degree in Statistics, Math, Data Analytics, or a related quantitative field 

·        5+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization 

·        MUST Have experience using healthcare and/or pharmaceutical data

·        Media Mix Modeling/Marketing Optimization Expertise

·        Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS)  

·        Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural- or pipeline-approaches 

·        Experience with SQL and relational databases, query authoring (SQL) and tuning as well as working familiarity with a variety of databases including Hadoop/Hive 

·        Experience with spark and data-frames in PySpark or Scala 

·        Strong problem solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing. 

·        Comfortable with cloud-based platforms (AWS, Azure, Google) 

·        Experience with Google Analytics, Adobe Analytics, Optimizely a plus 

·        Experience in digital marketing a plus 

Other:

·       Desire to work for  well know Pharmaceutical companies

·       Ability to keep a sense of humor while working in a fast pace environment

·       Collaborate well cross functionally and are an enthusiastic team player