Senior Data Science Analyst

Position: Sr. Data Science Analyst Location: Richmond, VA (Hybrid) 12 Months contract with possibility of extension Job Description: • Senior Data Science Analyst Top Required Skills: • MUST have prior hands on experience as a Data Scientist on a project using R/Python etc on Hadoop platform • Strong skills in statistical application prototyping with expert knowledge in R and/or Python development • MUST have previously worked on lead a project that handled and designed machine learning projects to address business problems determined by consultation with business partners. • MUST have extensive experience in Predictive Modeling and Machine Learning: Classification, Regression & Clustering • MUST have understanding and experience working on Big Data Ecosystems is preferred : Hadoop, HDFS, Hive, Sqoop, Spark: pySpark, SparkR, SparkSQL, Jupyter & Zeppelin notebooks • Should be ablet to work on a variety of datasets, including both structured and unstructured data. What soft skill requirements do candidates have (team fit and personality requirements)? • Strong communication skills both verbal and written • Ability to lead, collaborate, or work effectively in a variety of teams, including multi-disciplinary teams Nice to Have Skills: • Understanding and/or Experience with data engineering is a plus • Experience with cloud technologies(AWS, Azure, GCP, Snowflake) is big plus High Level Project Overview: • In this advanced level role, the Senior Data Science Analyst works independently on the most complex programs. • Researches and applies knowledge from existing and emerging data science principles, theories and practices to identify and solve complex analytic problems using established procedures, tools and platforms. • Conducts requirements gathering and design sessions and defines and documents the scope and objectives for the business use case/solution. • Performs detailed analysis and feature engineering on data. • Works at a high technical level in all phases of data analysis, design, development and support of analytic solutions including design and development of data structures, data integration processes and user interfaces to illustrate the analytical insights. • Guides and/or leads less experienced Data Science Analysts analytic projects, as needed. • Delivers oral briefs, presentations and insights from analysis performed or solutions developed. • Tests, compares and validates the results from Machine Learning models before implementing the solution. • Works company-wide, in multi-platform environments, on multiple project assignments. Required Years of Experience: • MUST have 5 plus years of experience in Data Science using R/Python etc. on Hadoop platform. Education: • Education: Bachelors or higher required • Discipline: Computer Science, Information Systems, Mathematics Are there any specific companies/industries you’d like to see in the candidate’s experience? • High Preference for candidates that have previously worked with a large scale commercial utilities team but will review candidates who have a background with large scale capital projects for companies Note: • Candidate will go through the process of Export Control Clearance prior to start. • Preferred Bill Rate: $90/hr • Primary location of assignment: Rich 8th & Main – 707 E Main Street Richmond, VA 23219 • How many contractors are you needing? 2 • What is the preferred candidate location (local, non-local, remote?) and is there flexibility? Local candidates strongly preferred No 100% remote • If you are open to looking at non-local candidates will per diem be offered? No • Will this candidate be dealing with Private Personal Information(PPI), Company Sensitive Information, or Credit Sensitive Information? Yes • What schedule is the candidate required to work: Alternate weeks in Richmond VA office; other week remote. (5 days in office, 5 days remote, repeating). No 100% remote • Are any certification required: No • Preferred Interview Process Overview (High level): Teams – Camera On Pay Range: $60 - $64 Hourly on W2 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.