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Data Scientist I/II

Data Scientist I/II

Philips

5 - 7 years

7 - 9 Lacs

Bengaluru

Posted:1 hour ago| Platform:

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Skills Required

Computer science Product management Data collection Agile Healthcare PLSQL Predictive modeling Information management QlikView Data mining

Work Mode

Work from Office

Job Type

Full Time

Job Description

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:

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, Na ve 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

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Data Scientist I/II