Data Scientist II

Data Scientist II — DemandScience Position Summary: Using advanced statistical and machine learning techniques to analyze data, build predictive models, and develop data-driven solutions in addition to extracting knowledge and insights from complex and diverse datasets to inform business decisions and drive innovation. 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 equivalents. 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 of 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. #J-18808-Ljbffr