Job Location: Pune
Job Title Business Analyst, Service and Solutions Delivery
Job Description
Data scientist roles and responsibilities include:
Data mining or extracting usable data from valuable data sources
Using machine learning / BI tools to select features, create and optimize classifiers
Carrying out preprocessing of structured and sometime unstructured data
Enhancing data collection procedures to include all relevant information for developing analytic systems
Processing, cleansing, and validating the integrity of data to be used for analysis
Analyzing large amounts of information to find patterns and solutions
Developing prediction systems and machine learning algorithms
Presenting results in a clear manner
Propose solutions and strategies to tackle business challenges
Collaborate with Business and IT teams
Prepare Data Projects Strategy in conjunction with BIOs, Info. Architects and Business
- Key projects to execute
- Monitor (Master) Data quality and propose projects to improve process, systems and organization
- (Master) Data Projects funnel and execution management
- Maintain list of active and requested Data Projects, including project charters
Ensure clear decision making/priority setting with key stakeholders
Ensure up-to-date Data Projects progress reports and communication
Active involvement in any issues which threaten Data Projects delivery in time, in scope and within budge
Prepare on-boarding of new Data Management activities
Key Skill:
Preferable but an option is to have some Programming Skills –
knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable.
Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
Strong Math Skills (Multivariable Calculus and Linear Algebra) – understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
Experience with Data Visualization Tools like Qliksense, Tableau that help to visually encode data
Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
Strong Software Engineering Background
Hands-on experience with data science tools
Problem-solving aptitude
Analytical mind and great business sense
Degree in Computer Science, Engineering or relevant field is preferred
Proven Experience as Data Analyst or Data Scientist
Job Posting Title: Business Analyst, Service and Solutions Delivery
Job Description Summary
Business Intelligence Owner for Business Operation and breakthrough transformation programs he/she is engaged with.
Drive the Services and Solution delivery’s Operations support for data and reports with a single version of truth with inspiring Analytics Insight that drives the Operations Improvement Supporting the transform and perform priority.
Be and evangelist to transform the data source (database, data lake) consolidation/staging done to create seamless Business Intelligence / Insight tailored for business Operations and Programs.
Job Details: Job Description
Formulates, as the competence owner, the future strategic directions of his domain.
Determines the relevance of this domain for Philips, assessing the value of new developments and identifying new opportunities for Philips.
Oversees the global developments in his domain that are relevant for the business, and determines the implications for his domain.
Keeps abreast of market, competition, technical, application and societal developments in his domain, showing understanding of Philips position and business interests.
Builds a worldwide external network and makes this knowledge applicable for the business, now and in the future.
Represents Philips externally on related issues, and spearheads international platforms.
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