Aequor
MCS Data Scientist
Aequor, Cambridge, Massachusetts, us, 02140
Remote - Any time zone closer to CA time zone the better. No OT. Standard business hours.Potential to extend.Top Three Skillsets
Front-end dev: Javascript, HTML, CSSBack-end dev: Node.js, PHP, PythonWeb architecture and database management systemsGit and Github and familiarity with DevOpsPlease know that the interview will require the candidate:Behavioral interview via WebexTechnical interview via Webex (specific coding questions)Presentation to team (10-15 minutes) on a project of their choosing mapping the business, what software did they employ, and the business impact in the end. 15-20 minutes with a Q&A after.DATA SCIENTIST
Development Supply Chain (DSC) within Manufacturing and Clinical Supply is accountable for the end-to-end delivery of ***'s clinical products, including planning, procurement, scheduling & capacity management, warehousing, and worldwide distribution. Additionally, DSC teams are accountable for product setup, business process management, and technology solutions to configure new products into the company's clinical supply chain. As an integral part of ***'s Process Development organization, DSC provides an innovation ecosystem for supply chain professionals. DSC supports differentiating, multi-modality manufacturing and enables the setup and ongoing support of innovative and biosimilar products in our clinical trials.Responsibilities
DSC is seeking a Data Scientist who will focus on the integration of complex data sources, performing data analytics, applying data science models, and developing various visualizations and dashboards on supply chain processes. This role will be actively collaborating with a wide range of business leaders to design and implement sophisticated analytical models. Responsibilities will include, but are not limited to:Leverage large datasets to conduct end-to-end supply chain analytics that include data gathering and requirements specifications, processing, analytics, and presentations.Understand and capture business/functional requirements, recommend metrics.Interact cross-functionally with a wide variety of people and teams. Work closely with subject matter experts to deliver value by developing client, practical, scientific data-driven solutions to meet business needs.Synthesize input into a prioritized feature list and build User Stories (requirements) for each feature.Build a wide range of data and analytics solutions, from descriptive to prescriptive, using advanced statistical and machine learning models.Prototype, build, and customize analytical applications to enable in-depth analysis.Define and create automated interactive dashboards and tools that turn data into business insights.Document data relations, data flows, and business logic behind the supply chain digitalization projects.Partner with IS and Data Engineers to ensure that the models feeding the dashboards are robust, functional, and relevant to business needs.Experience
Bachelor's degree in Industrial Engineering / Supply Chain / Business Analytics / Computer Sciences or Life Sciences and 5+ years of directly related experience OR Master's degree and 3+ years of directly related experience OR Doctoral degree.Qualifications
Experience in supply chain roles and solid understanding of supply chain management principles and interest in working on sophisticated problems ORExperience in a data science, data analyst, business analytics, business intelligence, or comparable role.Proficiency in programming with Python/R/JavaScript.Full-stack web development experience using frameworks such as RShiny/Dash/React/Angular.Expertise using SQL to write complex, highly-optimized queries across large volumes of data.Tableau development/visualization experience including designing and developing reports and dashboards.Familiarity with ERP systems, preferably SAP.Familiarity with DevOps and software best practices (i.e., version control, continuous integration, test-driven development).Ability to bridge functions, particularly technical and non-technical worlds.Ability to communicate and provide meaningful business insights from data.Strong verbal/written communication skills with attention to details and organization.Shown success in delivering results on multiple projects in an agile and fast-paced environment.Excellent problem-solving, storytelling, and interpersonal skills with the ability to explain technical details in an easy-to-understand language for the business owners.Independent, self-motivated, organized, able to multi-task in time-sensitive environments, and skilled in communication, facilitation, and collaboration.
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Front-end dev: Javascript, HTML, CSSBack-end dev: Node.js, PHP, PythonWeb architecture and database management systemsGit and Github and familiarity with DevOpsPlease know that the interview will require the candidate:Behavioral interview via WebexTechnical interview via Webex (specific coding questions)Presentation to team (10-15 minutes) on a project of their choosing mapping the business, what software did they employ, and the business impact in the end. 15-20 minutes with a Q&A after.DATA SCIENTIST
Development Supply Chain (DSC) within Manufacturing and Clinical Supply is accountable for the end-to-end delivery of ***'s clinical products, including planning, procurement, scheduling & capacity management, warehousing, and worldwide distribution. Additionally, DSC teams are accountable for product setup, business process management, and technology solutions to configure new products into the company's clinical supply chain. As an integral part of ***'s Process Development organization, DSC provides an innovation ecosystem for supply chain professionals. DSC supports differentiating, multi-modality manufacturing and enables the setup and ongoing support of innovative and biosimilar products in our clinical trials.Responsibilities
DSC is seeking a Data Scientist who will focus on the integration of complex data sources, performing data analytics, applying data science models, and developing various visualizations and dashboards on supply chain processes. This role will be actively collaborating with a wide range of business leaders to design and implement sophisticated analytical models. Responsibilities will include, but are not limited to:Leverage large datasets to conduct end-to-end supply chain analytics that include data gathering and requirements specifications, processing, analytics, and presentations.Understand and capture business/functional requirements, recommend metrics.Interact cross-functionally with a wide variety of people and teams. Work closely with subject matter experts to deliver value by developing client, practical, scientific data-driven solutions to meet business needs.Synthesize input into a prioritized feature list and build User Stories (requirements) for each feature.Build a wide range of data and analytics solutions, from descriptive to prescriptive, using advanced statistical and machine learning models.Prototype, build, and customize analytical applications to enable in-depth analysis.Define and create automated interactive dashboards and tools that turn data into business insights.Document data relations, data flows, and business logic behind the supply chain digitalization projects.Partner with IS and Data Engineers to ensure that the models feeding the dashboards are robust, functional, and relevant to business needs.Experience
Bachelor's degree in Industrial Engineering / Supply Chain / Business Analytics / Computer Sciences or Life Sciences and 5+ years of directly related experience OR Master's degree and 3+ years of directly related experience OR Doctoral degree.Qualifications
Experience in supply chain roles and solid understanding of supply chain management principles and interest in working on sophisticated problems ORExperience in a data science, data analyst, business analytics, business intelligence, or comparable role.Proficiency in programming with Python/R/JavaScript.Full-stack web development experience using frameworks such as RShiny/Dash/React/Angular.Expertise using SQL to write complex, highly-optimized queries across large volumes of data.Tableau development/visualization experience including designing and developing reports and dashboards.Familiarity with ERP systems, preferably SAP.Familiarity with DevOps and software best practices (i.e., version control, continuous integration, test-driven development).Ability to bridge functions, particularly technical and non-technical worlds.Ability to communicate and provide meaningful business insights from data.Strong verbal/written communication skills with attention to details and organization.Shown success in delivering results on multiple projects in an agile and fast-paced environment.Excellent problem-solving, storytelling, and interpersonal skills with the ability to explain technical details in an easy-to-understand language for the business owners.Independent, self-motivated, organized, able to multi-task in time-sensitive environments, and skilled in communication, facilitation, and collaboration.
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