Aequor Information Technologies Pvt. Ltd. | MCS Data Scientist | Cambridge, MA | United States | BigDataKB.com | 2023/01/18

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Job Location: Cambridge, MA

Job Detail:

100% onsite
EW Standardized pay rate of ***/hour. Please submit EW at bill rate of ***

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 set up, 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 set up and ongoing support of innovative and biosimilar products in our clinical trials.

DSC is seeking a Data Scientist who would be focusing 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 and 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 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 are turning data into business insights

Document data relations, data flows and business logics 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 & 3+ years of directly related experience OR

Master’s degree & 1+ 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 OR

Experience in a data science, data analyst, business analytics, business intelligence or comparable role

Proficiency in programming with Python, or R

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 on 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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