Job Title

Purpose of the role:As a Data Scientist, the person will be responsible for bringing a combination of mathematical rigor and innovative algorithm design to create recipes that extract relevant insights from billions of rows of data to meaningfully improve user experience.KEY RESPONSIBILITIES:- Collect, clean, and preprocess structured and unstructured data from various sources. - Develop and implement machine learning models and statistical algorithms. - Perform exploratory data analysis to identify trends, patterns, and anomalies. - Collaborate with cross-functional teams to understand business requirements and translate them into data solutions. - Visualize data insights using tools like Tableau, Power BI, or matplotlib/seaborn. - Communicate findings clearly to stakeholders through reports and presentations. - Continuously improve data processes and model performance.Experience:- Graduate degree or Phd in the following areas: Statistics, Data Science, Computer Science or relevant science or engineering discipline. - Machine learning, data science skills with strong programming background in python. - 5+ years of experience with common data science toolkits, such as scikit-learn, R, etc. Excellence in at least one of these is highly desirable. - Great communication skills. - Good Analytical skills - Data-oriented personalitySkills & Competencies:Must Have:- Python - scikit-learn, TensorFlow, or PyTorch. - Spark, Hadoop, Kafka, - AWS/ Azure/ Google CloudGood to Have- Spark (AWS EMR, Databricks), AWS Lambda - Spark Streaming and Batch - Avro, Parquet - Stream Data Platforms: AWS Kinesis - MySQL, Cassandra, HBase, MongoDB, RDBMS - Caching Frameworks(ElasticCache/Redis) - Elasticsearch, Beats, Logstash, Kibana - Java, Scala, Go, R - Git, Maven, Gradle, Jenkins - Rancher, Puppet, Concourse, Docker, Ansible, Kubernetes - Linux - Presto, Athena - Keras, Pandas) - Visualization suite (AWS Quicksight, Grafana)