Data Science Analyst

Top Required Skills
1) MUST have prior hands on experience as a Data Scientist on a project using R/Python etc on Hadoop platform
2) Strong skills in statistical application prototyping with expert knowledge in R and/or Python development
3) 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.
4) MUST have extensive experience in Predictive Modeling and Machine Learning: Classification, Regression & Clustering
5) MUST have understanding and experience working on Big Data Ecosystems is preferred : Hadoop, HDFS, Hive, Sqoop, Spark: pySpark, SparkR, SparkSQL, Jupyter & Zeppelin notebooks
6) Should be ablet to work on a variety of datasets, including both structured and unstructured data.
• What soft skill requirements do you have (team fit and personality requirements)?
o Strong communication skills both verbal and written
o 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+ 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 youd like to see in the candidates experience?
• High Preference for candidates that have prevoiusly worked with a large scale commercial utilites team but will review candidates who have a background with large scale capital projects for companies


Preferred Interview Process Overview (High level):
• Teams - Camera On