Jobs at Oraczen

Data Scientist

at Oraczen • Full-time

Location

hybrid (Hyderabad, India)

Experience

2-4 years

Compensation

₹8-₹15

Posted 1mo ago

by
Profile Picture of Ashraf

Ashraf Mohammed

Must have skills

Good to have skills

About this Opportunity

Job Title: Data Scientist

Location: Hyderabad (Hybrid/Remote)
Experience Required: 2–4 Years

About Oraczen

Oraczen is at the forefront of Generative AI, dedicated to creating cutting-edge, AI-driven solutions that transform industries. We believe in the power of data and its ability to drive smarter decisions, optimize models, and unlock new business opportunities. Join our mission-driven team that thrives on innovation, collaboration, and data excellence.

Role Overview

We are seeking a passionate and skilled Data Scientist with 2–4 years of hands-on experience in AI, ML, and advanced analytics. You will work on a range of projects including predictive modeling, NLP, computer vision, and generative AI applications. This role offers an opportunity to build end-to-end machine learning pipelines, work with large-scale datasets, and collaborate across disciplines to bring intelligent systems to life.

Key Responsibilities

  • Design, develop, and deploy machine learning and AI models across structured and unstructured datasets (text, images; audio/video is a plus).

  • Lead data preprocessing, feature engineering, and data enrichment workflows for optimal model performance.

  • Apply statistical and econometric methods (e.g., SARIMAX, regression) to derive actionable insights.

  • Develop classification, clustering, and anomaly detection models using techniques like Random Forest, XGBoost, SVM, K-means, DBSCAN.

  • Implement dimensionality reduction and visualization techniques (PCA, t-SNE, UMAP).

  • Build and fine-tune NLP solutions (e.g., sentiment analysis, topic modeling, text classification).

  • Contribute to generative AI model development, prompt engineering, or vector search integrations.

  • Create dashboards and visualizations (using Tableau, Power BI, or Matplotlib/Seaborn) to communicate results effectively.

  • Collaborate with engineers and business stakeholders to integrate AI-driven solutions into production.

  • Conduct A/B testing and model validation, track performance metrics, and continuously optimize models.

Required Qualifications & Skills

  • Bachelor's or Master’s in Computer Science, Data Science, Statistics, or a related field.

  • 2–4 years of hands-on experience in data science, AI, or ML projects.

  • Proficient in Python, SQL, and familiar with R.

  • Solid experience with machine learning libraries (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch).

  • Expertise in EDA, feature engineering, model evaluation, and interpretability techniques.

  • Exposure to vector databases (e.g., FAISS, Pinecone) and embedding-based search or retrieval systems.

  • Familiarity with modern NLP tools (spaCy, Hugging Face, LangChain) and transformer models is a strong plus.

  • Experience with statistical modeling, time series forecasting, and causal inference.

  • Good understanding of software development practices, version control, and reproducibility.

  • Excellent communication and stakeholder collaboration skills.

  • Self-starter with a problem-solving mindset and attention to detail.

Nice to Have

  • Experience working with LLMs, Generative AI, or multimodal AI.

  • Contributions to open-source projects or published work in ML/AI.

  • Familiarity with cloud services (AWS/GCP/Azure) and MLops tools.

Why Join Us?

  • Work on real-world, high-impact AI applications.

  • Thrive in a diverse, inclusive, and innovation-driven team.

  • Mentorship, growth, and leadership opportunities.

  • Competitive salary, performance incentives, and learning resources.

Our Commitment to Inclusion

At Oraczen, we are proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We evaluate candidates based on talent and potential, not background or identity.

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