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Title
Text copied to clipboard!Text Analytics Engineer
Description
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We are looking for a Text Analytics Engineer to join our dynamic data science team. As a Text Analytics Engineer, you will be responsible for designing, developing, and deploying advanced solutions that extract meaningful insights from unstructured text data. You will work closely with data scientists, software engineers, and business stakeholders to create scalable and robust text analytics pipelines that support business decision-making and innovation. Your role will involve leveraging natural language processing (NLP) techniques, machine learning algorithms, and big data technologies to process, analyze, and visualize large volumes of textual information from various sources such as customer feedback, social media, documents, and more. You will be expected to stay up-to-date with the latest advancements in NLP and text analytics, and to apply best practices in data engineering and software development. Key responsibilities include building and maintaining text preprocessing workflows, developing custom NLP models, integrating third-party APIs, and ensuring data quality and security. You will also be responsible for documenting your work, presenting findings to stakeholders, and collaborating with cross-functional teams to deliver impactful solutions. The ideal candidate has a strong background in computer science, data engineering, or a related field, with hands-on experience in NLP libraries such as spaCy, NLTK, or Hugging Face Transformers. Proficiency in programming languages like Python or Java, familiarity with cloud platforms, and experience with data visualization tools are highly desirable. Excellent problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to non-technical audiences are essential for success in this role.
Responsibilities
Text copied to clipboard!- Design and implement text analytics pipelines for large-scale data.
- Develop and optimize NLP models for various business applications.
- Collaborate with data scientists and engineers to integrate solutions.
- Clean, preprocess, and annotate unstructured text data.
- Evaluate and select appropriate NLP tools and frameworks.
- Ensure data quality, security, and compliance with regulations.
- Document processes, models, and findings for stakeholders.
- Present insights and recommendations to technical and non-technical audiences.
- Monitor and maintain deployed text analytics solutions.
- Stay updated with advancements in NLP and machine learning.
Requirements
Text copied to clipboard!- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- Proven experience with NLP libraries such as spaCy, NLTK, or Hugging Face.
- Strong programming skills in Python, Java, or similar languages.
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
- Familiarity with cloud platforms like AWS, Azure, or GCP.
- Knowledge of data visualization tools (e.g., Tableau, Power BI).
- Excellent problem-solving and analytical skills.
- Strong communication and documentation abilities.
- Ability to work collaboratively in cross-functional teams.
- Attention to detail and commitment to data quality.
Potential interview questions
Text copied to clipboard!- Can you describe your experience with NLP libraries and frameworks?
- How have you handled large-scale text data in previous projects?
- What strategies do you use for text preprocessing and cleaning?
- Describe a challenging text analytics problem you solved.
- How do you ensure data quality and security in your solutions?
- What is your experience with cloud-based data processing?
- How do you stay updated with the latest NLP advancements?
- Can you explain a complex NLP concept to a non-technical audience?
- What tools do you use for data visualization and reporting?
- How do you prioritize tasks when working on multiple projects?
