Data Scientist Ii, in Payments

Bachelors in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) with 10+ years of experience solving complex Data Science problems with excellent algorithm formulation skills
Proficient with SQL and at least one scripting language (e.g., R, Python)
Experienced in handling large data sets using SQL and databases in a business environment
Excellent verbal and written communication
Strong troubleshooting and problem solving skills

Job summary
External job description
Are you interested on understanding how Amazon Pay India scales within Amazon? Can you help improve the way we improve customer insights, profitability, customise processes to better suit the needs of APAY looking to expand its customer base?

Basic qualifications
B.Tech/M.Tech in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science or Economics Industry experience as a ML Scientist or related specialty (e.g. Software Engineer and Data Scientist) with extensive professional experience and a proven track record in a role focused on understanding, manipulating, processing and extracting value from large datasets. Proven experience in building large scale machine learning or deep learning models and/or systems in a production environment Strong analytical skills with passions on working with structured and unstructured data sets Proficiency with Quicksight, Tableau or similar dashboarding tool, Microsoft Excel to include making charts, data manipulation, pivot tables, creating macros, and visual basic knowledge Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data Able to write SQL scripts for analysis and reporting and using Datawarehousing technologies like Redshift, SQL, MySQL, Oracle or Teradata Excellent communication skills and the ability to work well in a team. Effective analytical, troubleshooting and problem-solving skills. 10 years of experience in data analysis or related field as a Statistician, Data Scientist, Computational Biologist, or bioinformatician. Experience with statistical software (R, Python, MATLAB, pandas) and database languages. Experience with machine learning on large datasets

Preferred qualifications
Master’s degree or higher in Statistics, Data Science, or an equivalent quantitative field - 10+ years of industry experience working as ML Scientist or related specialty - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Athena, ECS, ECR, Docker, etc. Experience communicating results and business impact of analytical deep dives to senior leadership - Hands on experience building models with deep learning frameworks like Tensorflow, PyTorch, or similar Experience with machine learning, time series, NLP, CV and RL solutions Scientific thinking and the ability to invent a track record of thought leadership and contributions that have advanced the field Experience in mentoring more junior colleagues

Key job responsibilities
Basic qualifications
B.Tech/M.Tech in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science or Economics Industry experience as a ML Scientist or related specialty (e.g. Software Engineer and Data Scientist) with extensive professional experience and a proven track record in a role focused on understanding, manipulating, processing and extracting value from large datasets. Proven experience in building large scale machine learning or deep learning models and/or systems in a production environment Strong analytical skills with passions on working with structured and unstructured data sets Proficiency with Quicksight, Tableau or similar dashboarding tool, Microsoft Excel to include making charts, data manipulation, pivot tables, creating macros, and visual basic knowledge Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data Able to write SQL scripts for analysis and reporting and using Datawarehousing technologies like Redshift, SQL, MySQL, Oracle or Teradata Excellent communication skills and the ability to work well in a team. Effective analytical, troubleshooting and problem-solving skills. 10 years of experience in data analysis or related field as a Statistician, Data Scientist, Computational Biologist, or bioinformatician. Experience with statistical software (R, Python, MATLAB, pandas) and database languages. Experience with machine learning on large datasets

Masters in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) with 8+ years of experience solving complex Data Science problems with excellent algorithm formulation skills
3+ years working in the field of Data Science or experience leading a team of Data Scientists
Experience in Banking / TelecoM/FMCG industries
Presented white papers on any topic related to Data Science