Data Scientist
1 week ago
Job Summary:
We are seeking a highly skilled Data Scientist to join our team at Bharti Soft Tech. The successful candidate will be responsible for working on advanced research and development, enhancing relationships with clients, acquiring strategic datasets, and providing new and innovative solutions via product prototyping.
Key Responsibilities:
Data Analysis:
- Analyzing, processing, evaluating, and documenting large data sets
- Identifying and applying appropriate machine learning/data mining/text mining techniques to uncover the value of the data
- Designing data structures and data storage schemes for efficient data manipulation and information retrieval
- Developing data-driven models to quantify the value of a given data set
- Validating score performance
- Conducting ROI and benefit analysis
- Documenting and presenting model process and model performance
- Applying analytical and industry knowledge to construct analytical solutions with details for internal and external clients to solve their business problems
- Making independent decisions that require developing new options and troubleshooting uncertainty to solve complex problems
Problem Solving and Innovation:
- Developing best practices for utilizing Experian and client data and producing new insights
- Developing appropriate business assumptions for developing relevant solutions
- Developing state-of-the-art topical material for Knowledge Share and relevant Roundtable discussions
Project Management:
- Working independently on assignments using knowledge and work management to address issues within project teams
- Gathering input from colleagues and influencing at the multiple account and project level internal and external, and may lead project and account teams
- Managing client and internal relationships
Teamwork and KS:
- Sharing expertise with others and continually striving to improve overall contributions to the department
- Providing informal and formal mentoring within project teams
- Becoming an analytics advocate through publication and internal and external presentations
- Actively participating in the greater analytical community through conference presentations and white papers
Personal Development:
- Staying connected to clients, competitors, relevant market groups, to be aware of and understand movements, trends, upcoming opportunities, and risks
- Maintaining and acting on agreed personal development plans in consultation with line managers
- Seeking feedback to improve skills, knowledge, and competencies as part of the feedback process
- Actively seeking to develop competency/knowledge of both software and analytics
- Keeping abreast with recent developments in Experian data assets, analytical methods, and software tools through internal and external training
- Showing a willingness to take on additional responsibility and more difficult project work
Requirements:
- Advanced degree or equivalent in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Maths, or other quantitative fields
- Strong grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus
- Understanding of how and when to apply key analytical approaches including regression analysis, machine learning, AI, deep learning, and other advanced modeling approaches to extract and automate insights from data
- Strong grasp of techniques for model cross-validation and penalizing unnecessary complexity, including regularization, Bayesian shrinkage, in-sample vs out-of-sample
- Fluency with statistical significance tests and Monte Carlo simulation
- Ability to write near-production-level code in at least one general-purpose programming language (e.g. Python, C++)
- Understanding of modern technologies in processing of large data sets, including Apache family (Hadoop, Spark), latest database technologies (e.g. Graph databases, time-series databases), and natural language processing and other tools for the parsing of unstructured data
- Good communication skills
- A thorough understanding of particular domain of products and services and their use by clients
- Experience of working in cross-functional teams
Technical Skills:
#MachineLearning #DataMining #TextMining #Python #ApacheSpark #ApacheHadoop #DeepLearning #AI #NaturalLanguageProcessing #GraphDatabases #TimeSeries #BigData
Statistical & Mathematical:
#Statistics #Probability #LinearAlgebra #Calculus #RegressionAnalysis #StatisticalInference #MonteCarloSimulation #ModelValidation #BayesianAnalysis
Business & Soft Skills:
#DataAnalysis #ProjectManagement #BusinessIntelligence #ProblemSolving #Innovation #TeamCollaboration #ClientCommunication #CrossFunctionalTeams #AnalyticalThinking #Documentation
Domain Knowledge:
#ROIAnalysis #DataModeling #DataStructures #PerformanceOptimization #ProductPrototyping #BestPractices #DataVisualization
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