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Role- Data Scientist-2
Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets, and services.
Translate business requirements into tangible solution specifications and high quality, on time deliverables.
Create repeatable processes to support development of ETL, modelling and reporting.
Effectively use tools to manipulate large-scale databases, synthesizing data insights. Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel, and PowerPoint.
Apply quality control, data validation, and cleansing processes to new and existing data sources.
Bring your Passion and Expertise
All About You
4-6 years experience in data engineering and management, data mining, data analytics, data reporting, data product development and quantitative analysis.
Advanced SQL skills, ability to write optimized queries for large data sets.
Expert in writing stored procedures, functions and views is preferable.
Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud, Snowflake, and other relevant technologies.
Exposure to Python, Scala, Hive, Impala, Spark, Cloud, and other related technologies.
Experience in data pipeline creation via tools such as Alteryx, SSIS etc.
Advanced knowledge of any of the job scheduling tools such as Apache Airflow, NIFI, and other related tools.
Experience with any one of data visualization tools (Tableau, Domo, and/or PowerBI/similar tools).
Experience with data validation, quality control and cleansing processes to new and existing data sources.
Experience presenting data findings in a readable and insight driven format. Experience in building support decks.
Must be able to interact with management, internal stakeholders and collect requirements.
Must be able to perform in a team, use judgment and operate under ambiguity.
Financial Institution or a Payments experience a plus
Education
Bachelor's or Master's degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred
Additional Competencies
Excellent English, quantitative, technical, and communication (oral/written) skills.
Analytical/Problem Solving
Job ID: 148486089
Skills:
unstructured data , Machine Learning, Python, data science fundamentals, structured data, data pipelines, data-intensive problems, Data Processing, code reviews
Skills:
cart , Logistic Regression, Machine Learning, Multivariate Analysis, Factor Analysis, Neural Networks, Support Vector Machine, Clustering, Random Forest, Deep Learning, Linear Regression, XGBoost, Time Series Analysis, Decision Trees, Python, Principal Component Analysis, Sampling Techniques, Gradient Boosting, Generalized Linear Model, Optimization, Statistical Approaches, R, Stochastic Models
Skills:
data wrangling , Machine Learning, Excel Vba, Python, Data Visualization, Tableau, Problem Formulation, Statistical Validation, Data Storytelling, R
Skills:
Machine Learning, Ibm Cloud, ELT, Python, AWS, Natural Language Processing, Sql, Deep Learning, Gcp, MLops, Databricks, Rest Apis, Azure, Etl, Hugging Face, MLflow, ML DL libraries, LangGraph, Microsoft Semantic Kernel, LangChain, Generative AI, LLMs, LLaMA, Crew AI, Delta Lake, OpenAI, Retrieval Augmented Generation
Skills:
Text Analytics, Sql, Tensorflow, Nlp, Pytorch, Python, PEFT, Generative AI, Agentic AI Framework, Google Gemini, fine-tuning for pre-trained models, NLG, Data mining techniques, ML Ops, R, RAG Vector Database, LoRA, NLU, OpenAI, QLoRA
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