EbizON || Data Scientist || Noida
The ideal candidate is highly analytical, detail-oriented, and passionate about leveraging data to drive innovation and business growth.
Key Responsibilities
- Data Modeling & Analysis – Design and develop models to analyze speech, text, and interaction data, including preprocessing pipelines, feature engineering, and outcome evaluation.
- Machine Learning Implementation – Build and fine-tune models leveraging LLMs, NLP techniques, ASR/TTS outputs, and structured/unstructured datasets to improve conversational understanding and recommendations.
- Experimentation & Evaluation – Design experiments (A/B tests, user behavior analysis), implement evaluation metrics, and continuously iterate on models to improve performance and engagement.
- Data Integration – Work with backend teams to integrate ML pipelines into production workflows, APIs, and data stores ensuring robust, scalable data-driven solutions.
- Trust, Privacy & Ethics – Collaborate with engineering and compliance teams to ensure data pipelines adhere to privacy laws (PII/PHI), encryption standards, and healthcare guidelines (HIPAA/SOC2).
- Collaboration with Cross-Functional Teams – Partner with product, clinical, and engineering teams to translate business requirements into data-driven strategies and actionable insights.
- Monitoring & Observability – Implement monitoring, error tracking, and data quality checks for models in production to ensure reliability and fairness.
- Accessibility & Fairness – Incorporate accessibility guidelines (ADA/WCAG 2.2), fairness audits, and bias mitigation techniques to ensure inclusive solutions.
Required Skills & Experience
- 3+ Years Experience in Data Modeling, Machine Learning & AI.
- Machine Learning & AI – Hands-on experience with NLP pipelines, LLMs, embeddings, intent classification, speech analytics, or recommendation systems.
- Data Engineering – Skilled in building ETL pipelines, data wrangling, feature extraction, and data visualization from large datasets (structured and unstructured).
- Statistical Analysis & Experimentation – Experience in hypothesis testing, A/B experiments, causal inference, or clinical outcome analysis.
- Programming – Proficiency in Python (Pandas, scikit-learn, TensorFlow/PyTorch), SQL, and APIs for data integration.
- Cloud Infrastructure – Familiarity with cloud platforms (AWS, GCP, Azure), containerization (Docker), data lakes, and distributed computing frameworks.
- Security & Privacy – Understanding of data encryption, secure storage, and compliance frameworks related to PHI/PII.
- Healthcare Domain Knowledge – Experience with healthcare datasets, patient data, or compliance requirements like HIPAA or SOC2 is preferred.
- Communication & Collaboration – Ability to explain data-driven insights clearly to non-technical stakeholders, work across product, engineering, and clinical teams.
- Problem Solving & Curiosity – Strong analytical mindset with a passion for deriving insights from complex data and designing models that drive user experience improvements.
About Us:
We’re an international team that specialize in building technology products & then helping brands grow with multi-channel demand generation marketing. We have in-house experience working for Fortune companies, e-commerce brands, technology SaaS companies & VC-funded startups.
We have assisted over a dozen billion-dollar companies with consulting, technology, operations, and digital agency capabilities in managing their unique brand online.
We have a fun and friendly work culture that also encourages employees personally and professionally.
EbizON has many values that are important to our success as a company: integrity, creativity, innovation, mindfulness and teamwork. We thrive on the idea of making life better for people by providing them with peace of mind.
The people here love what they do because everyone from management all way down understands how much it means living up close-to someones' ideals which allows every day feel less stressful knowing each person has somebody cheering him.
Equal Opportunity Employer:
EbizON is committed to providing equal opportunity for all employees, and we will consider any qualified applicant without regard to race or other prohibited characteristics.
Flexible Timings:
Flexible working hours are the new normal.
We at EbizON believe giving employees freedom to choose when to work, how to work. It helps them thrive and also balance their life better.
Global Clients Exposure:
Our goal is to provide excellent customer service and we want our employees to work closely with clients from around the world. That's why you'll find us working closely with clients from around the world through Microsoft Teams, Zoom and other video conferencing tools.
Retreats & Celebrations:
With annual retreats, quarterly town halls and festive celebrations we have a lot of opportunities to get together.