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Data Scientist trustwave

1 month ago

Bengaluru, India Encora Full time

Description here

**About ENCORA**:
Encora, a product engineering and services company provides unmatched opportunities for professional development, benefits, total rewards, and an extraordinary caring culture. It's a Warburg Pincus portfolio company with 20+ offices/ innovation labs and 7600+ talent strength worldwide. Encora works across domains like - FinTech - HealthTech - Security - Logistics & Supply Chain Security - Logistics & Supply Chain
- Digital Commerce - Travel & Hospitality - Real Estate - LendTech. Encorians find a wide range of opportunities to grow with us, whether it is hands-on experience on high impact challenging projects, learning about top technologies, or helping others by sharing what they knowWe have long been recognized as a Great Place to Work. We strive to create an inclusive, caring culture in which people with diverse backgrounds and talents can be their absolute best.

**Why Encora?**

Encora provides unmatched opportunities for professional development, benefits, total rewards, and an extraordinary caring culture.

**What We Do?**

We drive transformational outcomes for clients through our agile methods, micro-industry vertical expertise, and extraordinary people.
- **Professional Development**:
Encorians find a wide range of opportunities to grow with us, whether it is hand-on experience on high impact challenging projects, learning about top technologies, or helping others by sharing what they know.
- **Benefits**:
We care about you as a whole person. That is why, as an Encorian, you will receive a broad range of benefits, including health insurance, paid time off, and wellness programs designed to promote physical, emotional, and financial well-being.
- **Total Rewards**:
Encorians also receive competitive compensation. Innovative recognition programs reward your efforts and success throughout your career. We are proud to see you grow
- **Culture**:
We have long been recognized as a Great Place to Work. We strive to create an inclusive, caring culture in which people with diverse backgrounds and talents can be their absolute best.

**Please find the job description**

As a skilled Machine Learning engineer; you will be one of our resident experts for machine learning and model development. Combined with extensive knowledge of AI & ML, you will help solve a wide range of problems, from exploratory data analysis to model deployment. Your understanding of the machine learning landscape will inspire our product and engineering direction to ensure our products/services remain at the cutting edge of ML Security Ops.

**Responsibilities**:

- Identify valuable data sources and automate mining/collection processes.
- Use large-scale data processing frameworks such as Spark, AWS EMR for feature engineering and be proficient across various data, both structured and unstructured.
- Use Deep Learning models like CNN, RNN, and NLP (BERT) to solve business use cases like name entity resolution, forecasting, and anomaly detection.
- Analyze large amounts of data/information to discover and articulate trends and patterns.
- Build and train production-grade ML models on large-scale datasets to solve various business use cases for Cyber Security Industry
- Build predictive statistical models or machine-learning algorithms as appropriate
- Develop conclusive insights using statistical methods.
- Present and communicate data insights/findings, creating visualizations to aid in understanding data.
- Make and defend arguments using data and data-based insight.
- Architect and work closely with other team members to develop scalable cloud-based data analytic solutions.

**Skills & Experience (required)**:

- Minimum 3+ years of working experience as a data scientist
- Expertise with Python, PySpark, DL frameworks like TensorFlow and MLOps.
- Experience in designing and building highly scalable distributed ML models in production (Scala, applied machine learning, proficient in statistical methods, algorithms)
- Experience with analytics (ex: SQL, Presto, Spark, Python, AWS suite)
- Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization)
- Experience working with end-to-end pipelines using frameworks like KubeFlow, TensorFlow and/or crowd-sourced data labeling is a plus.
- Strong experience presenting technical information to a technically diverse audience.
- Prior experience designing, implementing, testing, and shipping production-quality AI/ML software in an industrial setting.
- Critical thinker that is comfortable supporting collaborative problem-solving in a team environment

Strong written and communication skills

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