Data Scientists

1 week ago

Remote, India Covalense Global Full time

**Benefits**:
**Our compensation and benefits packages differ from country to country in accordance with local preferences and legislation**:
Equal Employment Opportunity : We comply with all applicable laws prohibiting discrimination or harassment against any applicant or employee.

Competitive salary packages & benefits : We are continually monitoring and evaluating our salary structure in line with the industry standards to ensure we remain competitive in each of our countries. We offer comprehensive packages with a range of other benefits offered locally.

Recognition and Reward programs

Retirement Benefits

Company-sponsored comprehensive health insurance

Flexible working hours - we promote flexibility for a well -rounded life

Employee referral bonus

Working at client site opportunities

Growth : We encourage Learning, Sharing, Thanking & Celebrate every now and then

We promote continued learning & e-learning modules available

Leave benefits will include public holidays and other form of leaves like casual, sick, earned and maternity leaves as per the applicable legislation in the given region.

**Job Type**:Full Time
**Years of Experience**:7+ years
- Experience in AI & ML
- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research).
- Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.
- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
- Experience in analyzing complex problems and translating it into an analytical approach.
- Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning.
- Experience with analytical programming languages, tools and libraries (Python ecosystem preferred, but R will be considered).
- Experience in SQL and relational databases, Big Data technologies e.g. Python or Python R / Spark
- Good understanding of programming best practices and building for re-use.
- Strong communication, partnership and teamwork skills.
- Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision.

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