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Job Description
The ideal candidates favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
- Analyze raw data: assessing quality, cleansing, structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements
Qualifications
- Bachelors degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- At least 3- 5 years of experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
- Fluency in a programming language (Python, C,C++, Java, SQL)
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
Skills
AnalyticsPredictive ModelingQualityVisualizationIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
We are a data engineering and analytics company enabling organizations leverage data for competitive advantage. TIBIL enable businesses from Banking & Financial Services, Retail, Healthcare, Manufacturing, Social Sector verticals to achieve better agility, growth and profitability. Our name TIBIL is derived from Mayan script meaning “GOOD”. Founded in 2010, TIBIL is headquartered in Bangalore with offices in Illinois and Hyderabad, India. We serve more than 60 clients in USA, Middle East, APAC and India. We have a strong leadership team with collective experience of 150+ years and pedigree of working in F500 companies. Our solutions help you achieve your business goals through reliable and intelligent data management. We offer data validation, data engineering and feature engineering services to integrate, verify, prepare and transform data into formats that can be accessed by analytical models and tools. We drive data analytics using new generation data analysis tools, ML/AI, and industry-grade statistical models to deliver advanced, real-time analytics. We leverage our iDEA framework to: 1) Integrate and organize large volumes and diverse formats of data from disparate sources 2) Transform the prepared data into derived variables 3) Analyse the data and build models for analytical solutions 4) Derive insights to help you architect key decisions We help you find answers for the following in your quest to derive insights for your business initiatives: 1) Do we have all the data that I need? 2) Have we considered all sources of data? 3) Is our data accurate and reliable? 4) How do we make sense of the data generated from initiatives such as IoT, mobility and cloudification? 5) How do we convert these huge volumes of data into a format that I can leverage for analytics? 6) How do we convert all my data to get visual reports for forecasting, app usage, user behavior patterns? 7) How do we leverage ML and AI algorithms and models to convert data to business insights
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