Data Scientist

Role Overview: As a Data Scientist at EbizON, you will be responsible for analyzing complex datasets, developing data-driven models, and generating actionable insights to support strategic decision-making. You will collaborate with cross-functional teams to design and implement predictive models and machine learning solutions. The ideal candidate for this role 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. Qualifications Required: - 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 the Company: EbizON is an international team specializing in building technology products and helping brands grow with multi-channel demand generation marketing. They have in-house experience working for Fortune companies, e-commerce brands, technology SaaS companies, and VC-funded startups. The company values integrity, creativity, innovation, mindfulness, and teamwork. They have a fun and friendly work culture that encourages personal and professional growth. Equal Opportunity Employer: EbizON is committed to providing equal opportunity for all employees, considering any qualified applicant without regard to race or other prohibited characteristics. Flexible Timings: EbizON believes in giving employees the freedom to choose when to work and how to work, providing a better work-life balance. Global Clients Exposure: Employees at EbizON have the opportunity to work closely with clients from around the world through Microsoft Teams, Zoom, and other video conferencing tools. Retreats & Celebrations: The company organizes annual retreats, quarterly town halls, and festive celebrations to bring employees together for team bonding.,