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HI,
Hope you are doing great!
This is Harry from Dynamic
Enterprise Solutions. We have urgent requirement with one of our Direct clients
(No hidden Layers) , please review below job description and let me know your
interest
Position ID: DYESJP00015905
Title:
Data Scientist
Location:
North Chicago, IL
Duration:
6 Months+
Experience
Level : 10 years
Locals only (Day 1 onsite work
required)
Job
Description:
Enterprise Data Scientist is the key player in driving advanced analytics and
maturing AI at Pharmaceutical client, supporting multiple use cases across
various business technology organizations in Pharmaceutical client; covering
but not limited to language/image processing, machine learning analytics, deep
learning analytics etc. The use cases cover areas in Pharmaceutical client
research, commercial operations, manufacturing systems, supply chain planning,
logistics, infrastructure processes etc.
The successful Data Scientist will translate business needs into analytic
questions; conduct data exploration leveraging data from disparate data stores
cross Pharmaceutical client (including data lakes, traditional relational and
non-relational data); develop model specification; design and perform rigorous
analyses of operational, customer, and financial data; and translate these
analytic findings into leading information for our business partners.
This position would act as an advisor to executive and management level
decision makers. This individual would provide end-to-end guidance on
deployment of machine learning models including data governance and industry
best practices with a lens towards agility and efficiency, leveraging
a) data science and statistical methods,
b) programming languages such as R, python, Spark, SAS,
c) libraries such as TensorFlow, Pytorch etc.
d) technology capabilities such as containers and
orchestration (Docker, Kubernetes) in on-prem, cloud and hybrid
infrastructures.
Responsibilities:
Consult with internal and external stakeholders to determine how best to apply
descriptive analysis and/or statistical learning to support business objectives
across Pharmaceutical clients use cases.
Demonstrate a thorough understanding of concepts related to statistical
methods, language and image processing and operations research and how to use
them for solving real world problems.
Apply linear models, machine learning algorithms, times series forecasting, and
modern optimization methods (i.e. metaheuristics) to understand and/or predict
events impacting various business operations.
Understand the guidelines needed to build credible and efficient simulation
models used to inform the decision-making process.
Collaborate with subject matter experts and data engineers to deploy advanced
analytic solutions into the operational environments.
Adhere to agile project management frameworks and set the direction of data
science initiatives
Qualifications:
Masters or Bachelors in quantitative discipline (e.g. applied math, operation
research, computer science, etc.)
Lifesciences, healthcare analytics background preferred.
Practical experience with times series forecasting, monte carlo analysis,
spatial analysis, and/or machine learning (random forest, neural nets, SVM,
etc.)
Familiarity and use with public datasets such as Clinicaltrials.gov, imagenet,
COCO etc.
Familiarity with Machine Learning solution offerings/operationalize from cloud
providers such as AWS (ex. Sagemaker), Azure, GCP.
Familiarity with the concepts of container-based machine learning models,
automation and operations.
Familiarity with language models (SpaCy, NLTK, Stanford NLP) and using them to
operationalize and enhance chatbot user experience.
Familiarity with navigating in both a relational (Teradata-based) and
non-relational (Hadoop) environment. SQL skillset is strongly desired.
Knowledge of Java/Scala/Apache Spark is a bonus
Proficiency in R/Python; familiarity with libraries such as Tensorflow, caf,
Pytorch etc.
Practiced in exploratory data analysis (EDA) and manipulating large data sets
Capable of accessing external data sources through various APIs (e.g. google
distance matrix, quandl financial data, etc.)
Thanks
& Regards
Harry John
Dynamic Enterprise Solutions Inc
1801 Hicks Rd, unit A
Rolling Meadows, IL -60008
(847) 719-7902 / 224-635-0898
Email: [email protected]
[email protected]
www.Dynamic-enterprise.net
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