Data Scientist

Overview

Data Scientist role at DemandScience.

Essential Job Functions “What You’ll Do”

• Using professional expertise and understands and presents solution that has been applied in the industry to similar problems
• Works on problem of moderate scope where analysis of data and ML models requires a review of variety of factors
• Exercises judgement within studied or researched practices to determine appropriate action for a given situation
• Normally receives general instructions on routine work or detailed instruction on novel assignments
• Strong background in data analysis, programming, and a passion for solving real-world problems using data
• Ability to conquer problems with a limited scope of information
• Follows standard practices and procedures in analyzing data and presenting the results
• Work with large, structured, and unstructured datasets to identify patterns, trends, and anomalies
• Clean, preprocess, and validate data to ensure accuracy and reliability for analysis
• Use statistical methods and data visualization tools to interpret and present findings to stakeholders
• Develops and implements machine learning algorithms and predictive models to solve business problems
• Apply data mining techniques to discover insights and patterns in data
• Continuously refine and optimize models to improve performance and accuracy
• Work on projects involving natural language processing (NLP), computer vision, recommendation systems, etc., as needed
• Conveys complex ideas to a broad audience of different specializations
• Focuses on long-term usability and extensibility
• Emphasis on exploring, experimenting, and innovating on current patterns and designs
• Performs other duties as required or requested

Essential Qualifications “What You’ll Need”

• Bachelor's Degree in Computer Science, Mathematics, Statistics, or related discipline preferred
• 3-4 years building and maintaining high-quality, scalable, machine learning solutions
• 3-4 years working with data management including data operations, analytics, visualization, reporting, and building machine learning models under supervision of seniors
• Proficiency in languages like Python, R, and optionally Java, C
• Proficiency in using software development IDEs like Jupyter notebook, and source code maintenance tools like GitHub or equivalent
• Proficiency in using one or more SQL databases (MySQL, Postgres...), or NoSQL databases (Redis, MongoDB, DynamoDB..)
• Understanding and experience in applying ML libraries like pandas, scikit-learn for data analysis, and ML frameworks like SpaCy, Rasa etc.
• Worked in cloud environment (AWS, Azure or GCP) for data transportation
• Ability to build simple data pipeline for implementing machine learning algorithms
• Proficiency in applying one or more: classification algorithms (K-nearest, SVM, Decision trees etc.), time-series algorithms (ARIMA etc.), forecasting techniques, and an understanding of neural-network-based algorithm architectures (like RNN, LSTM etc.)
• Analytical and problem-solving skills, with the ability to work with large and complex datasets
• Has built data pipelines on cloud environment (AWS, Azure or GCP) that requires complex transformation and transportation of data
• Has built machine learning and natural language processing models by training, hyperparameter tuning, validating, and testing models from scratch, in at least one medium complexity commercial projects
• Understand all basic tasks associated with NLP domain
• Has good working knowledge of applying deep learning frameworks such as TensorFlow, Pytorch or Keras and transformers libraries from open source (e.g., HuggingFace) for natural language processing tasks
• Has good understanding of neural-network-based algorithm architectures (like RNN, LSTM etc.) and transformer architectures (like Bert and other variations)
• Excellent written and verbal communication skills. Able to convey complex ideas to a broad audience of different specializations
• A collaborative attitude, team-player, friendly, w/ passion and flexibility to learn new tools and skillsets
• Skilled in the use of Microsoft Office products

Seniority level

• Associate

Employment type

• Full-time

Job function

• Information Technology

Industries

• Software Development

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