Location: Hyderabad
Position Type: Full-Time
Key Responsibilities
- Data Modeling and Analysis:
- Develop predictive models to identify early signs of cognitive decline, emotional
distress, and disengagement.
- Build behavioral analytics models to understand patterns of user interaction and
engagement.
- Recommendation Systems:
- Design and deploy personalization algorithms that suggest relevant cognitive
exercises, social activities, or community groups.
- Data Exploration and Visualization:
- Create data dashboards for product teams, researchers, and caregivers to track user
trends, cognitive health scores, and platform engagement.
- Collaboration with Researchers:
- Work closely with academic and healthcare research partners to validate models and
ensure alignment with the latest cognitive science findings.
- A/B Testing and Model Optimization:
- Design experiments and tests to validate algorithms and fine-tune models for
performance, fairness, and accuracy.
- Data Engineering and Pipeline Management:
- Collaborate with engineers to build data pipelines for real-time and batch processing
of structured and unstructured data.
- Ensure Data Privacy & Ethics:
- Implement data processing practices that adhere to HIPAA, GDPR, and other privacy
regulations .
- Ensure the ethical use of data, minimizing bias in algorithms and recommendations.
Qualifications
- Education:
- Bachelor's or master's degree in data science, Statistics, Computer Science, or related
fields .
- Technical Skills:
- Proficiency in Python, R, or SQL for data analysis.
- Experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong knowledge of statistical analysis, A/B testing, and time-series modeling .
- Familiarity with data visualization tools (e.g., Tableau, Power BI, or Plotly).
- Experience with cloud platforms (AWS, GCP) and data pipelines (e.g., Airflow, Kafka)
is a plus.
- Experience:
- 3+ years of experience in data science or advanced analytics roles.
- Prior experience working in healthtech or wellness applications is highly desirable.
- Expertise in building recommendation systems or predictive models is a strong
advantage.
- Soft Skills:
- Strong problem-solving abilities and an analytical mindset.
- Ability to collaborate effectively with cross-functional teams, including product
managers, engineers, and researchers.
- Passion for improving mental well-being through data-driven solutions.
Skills: sql,statistical analysis,python,data,machine learning,algorithms,cloud platforms,models,r,time-series modeling,data visualization,a/b testing,data pipelines
