Apptad - Senior Data Scientist - ML, Python
Apptad - Senior Data Scientist - ML, Python
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1 Vacancy
Job Description
Job Description: Data Scientists: Machine Learning Pytorch SQL
(Exp: 8 to 12 years)
Job responsibilities:
- Responsible for coding and testing customized analytical models of medium to high degree of complexity.
- Must be able to implement best practices when writing and testing code.
- Familiarity with the life cycle of a data science project and extensive experience with python is a must.
- Requires strong interpersonal and communication skills operational Elasticsearch knowledge and ability to construct GUI interfaces
- Gathers interprets and manipulates structured and unstructured data to enable analytical solutions for the business.
- Selects the appropriate modeling technique and/or technology with consideration to data limitations application and business needs
- Proven experience in developing models using Regression Decision trees Bayesian networks Random Forest Logistic regression Support vector machine Gradient boosting algorithms Clustering algorithms and Dimensionality Reduction Algorithms.
- Proven experience in building and implementing Timeseries and forecasting models.
- Experience in Deep Learning model development using TensorFlow Keras PyTorch
- Hands on experience in building ML workflows
- Experience in Model implementation Governance and monitoring.
- Responsibilities include Performing the code development of complex analytic algorithms and paradigms perform a clear breakdown of the analytic functionality and separate it into working modules.
- Working experience in Python R and SQL
- Experience in Python data science packages such as numPy SciPy and SciKit-learn
Nice to Have:
- Fluent with Natural Language Processing and text analytics libraries (NLTK SpaCy)
- Experience with Data Science Platforms (Dataiku H2o Azure )
- Experience with one of Subversion/SVN Git GitHub GitLab Mercurial or other version control system
- Experience with cloud platforms AWS Azure GCP a plus
- Knowledge in Big Data Hadoop HIVE/HQL HDFS Spark/PySpark Kafka
- Familiar working in an AGILE environment
Education: Bachelors Degree or masters Degree in a highly quantitative field (Computer Science Machine Learning Operational Research Statistics Mathematics Engineering etc.) or equivalent experience
Employment Type
Full-time
