Data Scientist

Job Description

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 personality Skills & Competencies: Must Have: Python scikit-learn, TensorFlow, or PyTorch. Spark, Hadoop, Kafka, AWS/ Azure/ Google Cloud Good 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)