Lifesight - Data Scientist - Machine Learning (4-8 yrs)

AtLifesight, we rely on insightful data to power our systems and solutions. We're seeking a Data Scientist to deliver insights daily.

The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind.

While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data's full potential.

As part of a team of specialists, the data scientist will slice and dice data using various methods and create new visions for the future.

Responsibilities :

- Collaborate with product design and engineering teams to develop an understanding of needs.

- Research and devise innovative statistical models for data analysis and communicate findings to all stakeholders.

- Enable smarter business processes by using analytics for meaningful insights.

- Keep current with technical and industry developments.

- Execute analytical experiments to help solve problems across various domains and industries.

- Analyse data for trends and patterns, and interpret data with clear objectives in mind.

- Implement analytical models in production by collaborating with software developers and machine-

learning engineers.

Requirements :

- Bachelor's degree (or equivalent) in statistics, applied mathematics, or related discipline.

- 4+ years of experience as a Data Scientist.

Statistical Knowledge :

- Understanding of probability theory, distributions, and statistical inference.

- Regression analysis (linear, non-linear, multivariate).

- Time series analysis/forecasting.

- Bayesian statistics.

- Hypothesis testing.

- Experimental design.

- Understanding of overfitting, underfitting, and regularization techniques.

Machine Learning :

- Supervised learning algorithms.

- Unsupervised learning (clustering, dimensionality reduction).

- Feature engineering and selection.

- Model evaluation and validation techniques.

Programming Skills:

- Proficiency in Python or R.

- SQL for database querying.

Specialized Knowledge:

- Understanding of causal inference.

- Understanding of ad stock, decay, and saturation concepts.

- Cloud computing platforms (e. g., AWS, GCP).