No Experience – Data Scientist Job

Join our team as an NLP Data Scientist! Utilize your expertise in natural language processing, machine learning, and data analysis to develop innovative solutions. Collaborate with cross-functional teams to transform large datasets into actionable insights. Apply now to drive advancements in NLP technology and solve complex business problems.

Job TitleNLP Data Scientist
LocationRemote
DepartmentData Science
Reports ToHead of Data Science
Job SummaryThe NLP Data Scientist will design, develop, and implement natural language processing models and algorithms to solve complex business problems. This role involves working with large datasets, developing NLP solutions, and collaborating with cross-functional teams.
Key Responsibilities– Develop and implement NLP solutions for text classification, sentiment analysis, and named entity recognition.<br>- Collaborate with data engineers and cross-functional teams to deploy NLP models into production environments.<br>- Analyze large datasets and provide insights to improve operations.<br>- Process, cleanse, and verify the integrity of data used for analysis.<br>- Create and maintain technical documentation for NLP models and algorithms.<br>- Participate in code reviews and QA processes.<br>- Enhance data collection procedures to include information relevant to building analytic systems.<br>- Create automated anomaly detection systems.
Qualifications– Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.<br>- 3+ years of experience in NLP or a related field.<br>- Experience developing NLP models with transformer architecture.<br>- Proficiency in programming languages such as Python or Java.<br>- Experience with machine learning frameworks such as PyTorch, TensorFlow, or Keras.<br>- Experience with NLP libraries such as NLTK, Gensim, or SpaCy.<br>- Experience with cloud computing platforms such as Google Cloud or AWS.
Skills– Advanced knowledge of NLP algorithms and techniques.<br>- Proficiency with data modeling and analysis tools.<br>- Expertise in programming languages (Python, Java).<br>- Experience with statistical and mathematical analysis.<br>- Critical thinking and problem-solving skills.<br>- Excellent verbal and written communication skills.<br>- Ability to work collaboratively in a team environment.
Tools and Technologies– Python, Java<br>- NLP libraries (e.g., NLTK, Gensim, SpaCy)<br>- Machine learning frameworks (e.g., PyTorch, TensorFlow, Keras)<br>- Data visualization tools (e.g., Tableau, Power BI)<br>- Cloud computing platforms (e.g., Google Cloud, AWS)
Soft Skills– Strong analytical and critical thinking skills.<br>- Excellent communication and presentation skills.<br>- Ability to work collaboratively in a team environment.<br>- Eagerness to learn and adapt to new technologies.
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