Data Scientist I/II
Data Scientist I/II
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Title
Data Scientist I/IIJob Description
At Philips data is in the center of everything we do. We believe that every data item has a story of its own. If you have a penchant for unravelling the hidden patterns then you are the person we are looking for!
To build our next generation smarts you will be working with experts in a variety of fields including clinical & regulatory specialists UX designers dental and skin care professionals system architects product management to integrate new technologies and refine system performance. You will help build learning systems leveraging data sets consisting of user interactions and actions collected from hundreds of thousands of consumer devices per day to model analyse and predict user behaviours. While some of our algorithms run on resource constrained devices others require large clusters on our cloud infrastructure. As data scientist you will investigate discern and interpret data sets to recognize user behaviour and predict trends.
Job Responsibilities
Use predictive modeling to increase and optimize customer experiences revenue generation campaign optimization and other business outcomes
Work with product management to develop data use cases and embed predictive models in workflows on resource constrained platforms and cloud enabled.
Selecting features building and optimizing classifiers using machine learning and deep learning techniques
Collaborates with Data Engineers to enhance data collection and ingestion/curation techniques to include information that is relevant for building analytic systems
Processing cleansing and verifying the integrity of data used for analysis
Develop processes and tools to monitor and analyze model performance and data accuracy. Life cycle management of predictive models.
Adherence to compliance procedures in accordance with regulatory standards requirements and policies. Managing and designing the reporting environment including data sources security and metadata.
Job Qualifications:
Masters degree or PhD in Computer Science Information management Statistics or related field with 5 to 7 years of experience in the Consumer or Healthcare industry manipulating data sets and building predictive models with focus on product development
Experience in statistical modelling machine learning data mining unstructured data analytics and natural language processing. Sound understanding of - Bayesian Modelling Classification Models Cluster Analysis Neural Network Nonparametric Methods Multivariate Statistics etc.
Strong hands on knowledge of ML techniques like regression algorithms K-NN Nave Bayes SVM and ensemble techniques like Random forest AdaBoost etc
Having strong knowledge in unsupervised learning algorithms using Neural networks and Deep-Learning
Strong knowledge in Data Wrangling and Exploration techniques to identify the patterns trends and outliners.
Deep knowledge and practical experience with data science toolkits such as NumPy Pandas scikit-learn or equivalent
Experience with data visualization tools such as QlikView Matplotlib seaborn or equivalent tools.
Proficiency in using query languages such as SQL PL/SQL
Hands on experience in the one or more databases like Hadoop AWS Redshift Snowflake etc.
Good applied statistics skills such as distributions statistical testing regression etc.
Good ETL scripting and programming skills such as Python R or Scala to integrate developed solution into the proposition.
A team player capable of working and integrating across cross-functional team for implementing project requirements. Experience in technical requirements gathering and documentation.
Ability to work effectively and independently in a fast-paced global collaborative agile team environment with tight deadlines
A flexible pragmatic and collaborative team player with innate ability to engage with stakeholders at all levels in the organization.
A self-starter with high levels of drive energy resilience and a desire for professional excellence with a passion for data and data science
How we work together
We believe that we are better together than apart. For our office-based teams this means working in-person at least 3 days per week.
this role is an office role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters and we wont stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
Learn more about our business.
Discover our rich and exciting history.
Learn more about our purpose.
If youre interested in this role and have many but not all of the experiences needed we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.
#LI-EU
#LI-Hybrid
#LI-PHILIN
Employment Type
Full-Time
