Lead Data Scientist

Mid / Senior

Remote

Ascendum is looking for a hands-on Lead Data Scientist who can manage projects, lead teams and design and architect implementations. With a high-level experience with data architecture/analytics/modeling/data science and the ability to implement it as well. Someone who is a self-learner and encourages the discovery of new technologies or challenges.

Key Responsibilities:

Lead data projects: collect requirements, prepare the high-level design to share with the stakeholders, detailed design for the team and hands-on implementation, and communicate findings to all stakeholders
Interpret and analyze data problems
Enhance data collection procedures to include information that is relevant for building analytic systems
Build big data systems for analytics and operational use
Ensure data quality and integrity
Visualize data and create reports/dashboards
Implement Machine learning models including NLP/NLU (feature selection and engineering, building and optimizing classifiers/predictions using machine learning techniques)
Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
Analyze data for trends and patterns, and Interpret data with a clear objective in mind
Doing ad-hoc analysis and presenting results in a clear manner

Requirements:

Prior experience leading Data Science teams to deliver project objectives in an Agile methodology
5+ years of experience with Big Data technologies: Data Lake, Azure, DW, Hive, Vertica, MongoDB, Elasticsearch, Impala, Spark, HDFS, Redshift
3+ years of experience working with Python for ETL/ELT, data science, machine learning, NLU/NLP based projects
2+ years of experience with Machine Learning: NLU, NLP, clustering, linear regression, NN (RNN, ANN, CNN), tuning training set, tuning the existing model
4+ years of experience with Data Architecture/Data Modeling – SQL and NoSQL, Big Data
4+ years of experience with SQL, TSQL, PLSQL
2+ year of experience with reporting tools: Tableau, Power BI …etc.

Education:

Master’s degree (PhD preferred) in Statistics, Machine Learning, Mathematics, Computer Science, Economics. An equivalent of the same in working experience is also acceptable for the position.

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Lead Data Scientist

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