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Data Scientist

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  • IT
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Job Details

Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending companys data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Experience in Business Intelligence (BI), Data warehouse (DW) Clear understanding of Cube, OLAP, OLTP concepts Hands-on experience of Schema design and data modeling Should have clear understanding of DFD and ERD Ability to translate complex data flows/transformations into sequences of ETL implementation tasks Thorough Knowledge of ETL, data quality, data cleansing, and data blending tools Familiarity with AWS Data Pipeline a plus Proven ability to write and tune SQL queries, Understanding of columnar DBs like Redshift and Actian Vector, and conventional RDBMS like SQL Server, MS SQL, MySQL, etc. Knowledge of one or more OLAP (e.g. Mondrian), reporting and visualization tools (e.g. Tableau, Spotfire, Jaspersoft, QlikView, Looker, DataWatch, Kibana, Apache Zeppelin etc) Ability to understand domain and gain business knowledge quickly If Python then, candidate must have used libraries like, Pandas, SciPy, NumPy, Twithon, TwiPy, Anaconda Distribution, etc. Experience in one more structured DBMS MySQL, SQL Server, Redshift, Postgres Experience in one or more Dynamo DB, Mongo DB, Cassandra Experience of Ingestion, Processing and Visualization of Big Data More than 500 GB, >1 TB is preferred Hands-on with Hadoop components like AWS EMR or HDFS, Sqoop, Oozie, HBase, Hive, MapReduce, etc. It is not possible that candidate have all the skills at a time. But these are the basic skills around the Data Engineer position. The candidate should at least be theoretically proficient in all of the above. Working knowledge on one or more Kafka, Redis, Spark, Solr, ElasticSearch, Storm, Kinesis Strong analytical skills and good problem solving skills. Experience in handling large teams, with good interpersonal skills Self-motivated, team player, action-and-results oriented Well organized, good communication and reporting skills Ability to successfully work under tight project deadlines.
Degree: M.Com. (Commerce) | M.Pharm. (Pharmacy) | M.Sc. (Science) | MA (Arts) | MBA/ PGDM | MCA/ PGDCA

Additional Degree: BE/ B.Tech (Engineering)

Experience: 5-7


Application Programming | Data Warehousing | Database Administration (DBA) | Software Engineer
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