Data Scientist I - Bengaluru, India - Philips

Philips

Verified Company

Bengaluru, India

3 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

Job Title:
Data Scientist I

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, analyze, and predict user behaviors.

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 behavior and predict trends.

In this role, you have the opportunity to make life better
Looking at the challenges the world is facing today Philips' purpose has never been more relevant.

So whatever your role, if you share our passion for helping others, you'll be working towards creating a better and fairer future for all.

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:

Master's 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, Naïve 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, scikitlearn 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 crossfunctional team for implementing project requirements. Experience in technical requirements gathering and documentation.
Ability to work effectively and independently in a fastpaced 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 selfstarter with high levels of drive, energy, resilience and a desire for professional excellence with a passion for data and data science

In return, we offer you a chance to serve a bigger purpose. At Philips, our mission to improve the lives of 2.5 billion people per year by 2030, and every day we move closer to achieving our goal by creating cutting-edge solutions that lead to confident diagnosis, improved care, and increased quality of life for patients drive us. We enable our employees to create a legacy in life through their work and support their development through people-centric learning, total rewards and personalized development planning programs. Our business provid