Data Scientist - Machine Learning

Designation : Data Scientist

Location : Mohali

Essential Job Duties and Responsibilities :

- Selecting features, building, and optimizing classifiers using machine learning techniques.

- Data mining using state-of-the-art methods.

- Using NLP to extract information from unstructured text.

- Processing, cleansing, and verifying data integrity used for analysis.

- Doing ad-hoc analysis and presenting results in a user-friendly way.

- Creating automated anomaly detection systems and constant tracking of their performance.

- Extending the companys data with third-party sources of information when needed.

- Create technical documentation for code, architecture, and application function.

- Ability to work on multiple projects in parallel to meet the companys needs.

- Flexible to work on different sets of technologies as and when required.

- Positive, upbeat personality.

Qualification and Experience :

Bachelors or masters degree in data science or related field. Minimum three years of relevant experience.

Knowledge, Skills and Abilities :

- Excellent understanding of machine learning techniques and algorithms, such as kNN, Naive Bayes, SVM, Decision Forests, etc.

- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.

- Excellence in at least one of these is highly desirable.

- Experience with data visualization tools like D3.js, GGplot, etc.

- Proficiency in using query languages such as SQL.

- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase.

- Good, applied statistics skills, such as distributions, statistical testing, regression, etc.

- Good scripting and programming skills.

- Excellent communication and interpersonal skills.

- Ability to lead in a high-pressure, fast paced and changing environment to ensure objectives are met in a timely manner and achieved within utmost quality.

- Strong analytical and problem-solving skills.

- Ability to create insightful and progressive functional multi-year strategy.

(ref:hirist.tech)