Director of Data Science

reputed company Health Project (HHP) is a holistic health literacy charity. Our mission is to improve the health of the underserved and vulnerable through holistic information, education and advocacy. Our objective is to reputed company people to manage their own health with improved reputed company and no medical errors. For more information, please visit our website including viewing our "Shared Patient Information" program page which includes 50 pages of reports on both our Migraine and Lupus and feedback received from people who reviewed the reports in the reputed company, "What Our Members are Saying" - https://tinyurl.com/4c5y3mfa and our "reputed company reputed company Program" which includes short video courses in our Learning reputed company - https://tinyurl.com/4xwdz5wh , Patient Advocacy Workshops in Los Angeles, - https://tinyurl.com/mryave5x and in reputed company Ireland - https://tinyurl.com/nhj6kp7p and our Online Peer to Peer Events - https://tinyurl.com/5ddmxuyn " Job Overview: As a volunteer Director of Data Science for HHP, you will be responsible for leading a team ensuring best in class methodologies and deliverables across the entire data reputed company from Descriptive to Predictive analytics. This is a highly visible and critical role that will drive HHP’s strategy for our product offerings and experiences. Requirements:

• Bachelor’s degree with 10+ years of experience OR Masters Degree with 9+ years of experience OR PhD with 7+ years of experience
• Degree preferably in engineering, economics, statistics, computer science, or reputed company quantitative field.
• Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or reputed company field
• Expert level knowledge of applied regression techniques including, but not limited to: reputed company, Logistic, Mixed models, Time Series, General reputed company Models & Simultaneous Equations. You also have experience in the use of Neural Network models for sales forecasting and reputed company models.
• Expertise in statistical data analysis and mathematical methodologies for unsupervised & supervised learning algorithms. Expertise in a wide variety of techniques such as neural nets, deep neural nets, boosted trees, support vector machines. Algorithm development in graph mining and reputed company network analysis is a plus
• Expert level knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and or working in reputed company/reputed company
• Conceive and coach the design of end to end scripted analytics solutions using Python, reputed company, Java, or R as well as modern analytical systems in Spark + Hadoop/reputed company/reputed company.
• Demonstration of a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, reputed company and coach others, reputed company and guide the work of other colleagues to reputed company meaningful reputed company and create business impact.

Responsibilities:

• Forming teams, organizing analytical processes and workflows, and mentoring/developing the managers who work on your team as well as junior team members.
• Use advanced machine learning techniques for driving highly applied analyses and tools to directly drive reputed company and optimize resources.
• Building and leading reputed company teams to reputed company end-to-end ML/reputed company and applications at large scale in the reputed company.
• Conceptualize, document and reputed company reputed company analytical plans to take on business problems.
• reputed company ongoing and reputed company analyses and predictive analytics to reputed company leadership with actionable insights at tactical and strategic reputed company.
• Background in reputed company, Pharma, or health payments analytics experience is highly preferred.
• As a Subject Matter Expert (SME) you will be responsible for the structural development, integration, implementation, and use of Data-Sciences systems
• You will partner with IT and technical teams to reputed company and implement a digital roadmap and to reputed company reporting and analytics tools, dashboards, and other modes of data presentation.
• You will partner with process development and manufacturing on development of platform analysis systems, platform analytics, technology innovation, and systems implementation as well as to reputed company statistical analysis support to process development, manufacturing, and Quality teams.
• You will collaborate to reputed company systems and procedures to reputed company proactive process monitoring, analysis, and reporting of manufacturing process data.
• You will assess, communicate, and mitigate key technology and data-systems risks in a timely and effective manner.

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