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Data Scientist II

Data Scientist II

DemandSciencePhilippines
30+ days ago
Job description

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

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