Senior Data Scientist at Mercy in Remote
SUMMARY The Senior Data Scientist applies strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The data scientist collaborates with business partners to define the technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team. Remote/work from home - eastern time zone hours ESSENTIAL JOB FUNCTIONS Collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools Effectively communicate the analytics approach and how it will meet and address objectives to business partners Advocate and educate on the value of data driven decision making focusing on the how and why of solving problems Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products Engineer features by using their business acumen to find new ways to combine disparate internal and external data sources Share their passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards Collaborate and learn with a growing team of experienced Data Scientists Stay connected with external sources of ideas through conferences and community engagements QUALIFICATIONS RequiredMinimum Education:
Bachelors Preferred- Masters / PhD in Data Science, Computer Science, Engineering, Statistics
Experience:
Required- 4
years of experience working in data science role; 5
years of experience working in data engineering, analyst, or architecture role Preferred- 5
years of experience working in data science role ADDITIONAL SKILLS SQL (writing complex queries) Attention to detail Python or R proficiency Critical thinking Machine Learning Relationship building Merge and transform datasets Ability to work with technical and non-technical stakeholders Big Data technologies (e.g., Spark, H20.ai) Requirements translation Model deployment and maintenance Agile work process Experience with BI tools (e.g., Tableau,PowerBI) preferred Desire to learn Intellectually curious
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Bachelors Preferred- Masters / PhD in Data Science, Computer Science, Engineering, Statistics
Experience:
Required- 4
years of experience working in data science role; 5
years of experience working in data engineering, analyst, or architecture role Preferred- 5
years of experience working in data science role ADDITIONAL SKILLS SQL (writing complex queries) Attention to detail Python or R proficiency Critical thinking Machine Learning Relationship building Merge and transform datasets Ability to work with technical and non-technical stakeholders Big Data technologies (e.g., Spark, H20.ai) Requirements translation Model deployment and maintenance Agile work process Experience with BI tools (e.g., Tableau,PowerBI) preferred Desire to learn Intellectually curious
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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