Data Science Engineer

About the company:

 SEW is the # 1 Energy and Water Cloud Platform, providing cloud-based Software-as-a-Service (SaaS) solutions for Digital Customer Engagement, Field Workforce Engagement, and Smart AI / Machine Learning to the Energy and Utility sector. We help utilities improve their customer service, operational efficiency, and maximize return on investments through the SEW platform applications leveraging the mobile, AI, Machine Learning.

Website: https://www.sew.ai/

Job Description:

Roles&Responsibilities:

• Create and maintain optimal data pipeline architecture.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
• Experience/knowledge of employing statistical, data science and machine learning algorithms on realworld problems.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with datarelated technical issues and support their data infrastructure needs.
• Work with product team, data science team and data engineer team to analyze product features, track user behaviors to drive feature enhancement or new feature development.
• Identify and develop data collection strategies to support reporting on key performance indicators that directly measure online campaigns, website and conversion funnel performance.
• Designing and implementing automated reporting solutions across multiple teams and stakeholders.
• Translate the reports into business values and provide suggestions to drive effective business decisions.
• Work with data engineer team on daily data quality monitoring and data validation.
• Create documentation and reports on data quality and data validation) Supporting cross-functional teams on the day-to-day reporting/ visualization/ data analysis execution of different implementations.

Skills Required:

• Retrieving and analyzing data using SQL/Python from SQL or NoSQL database such as SSMS, Postgres, MongoDB, Cassandra, etc.
• Hands-on knowledge of data modelling tools, data mapping tools, and data profiling tools.
• Experience with and theoretical understanding of algorithms for supervised and unsupervised modeling such as classification, regression, clustering, recommendation engine and anomaly detection.
• Experience in Python programming and familiarity with python libraries such as numpy, pandas, scikitlearn etc.
• Expertise with statistical data analysis. (e.g. linear models, multivariate analysis, stochastic models, sampling methods, A/B testing)
• Experience in deploying machine learning products in production using docker is a plus.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience with object-oriented/object function scripting languages: Python preferable.
• Strong in BI technologies: e.g. Microsoft Power BI (preferable), Tableau, Google Analytics.
• Experience building and optimizing ‘big data' data pipelines, architectures and data sets, Azure Cloud experience preferred.
• Leverage advanced NLP algorithms/architectures to build custom models for entity extraction and concept recognition, relation extraction, summarization, textual classification and clustering, etc.
• Contribute to the execution of our vision for NLP-based technology solutions using various NLP toolkits like Spacy, CoreNLP, OpenNLP, etc.
• Perform relevant data analysis and benchmark the NLP solutions to improve our offerings.

Profile/Designation :Data Science Engineer

Gender (Males Only/Females Only/Both) :Both

Job Location: Noida

Desired experience: Fresher

Target batch Passouts :2022-2023

Course specialization: B.Tech/M.Tech

Academic % Criteria 10th,12th, Graduation (if any): NA

Candidate location (if any): Noida

Probation/Training Period :3 Months

Salary : 5LPA(After probation 7LPA)

Bond- (if any) & Penalty-(if any) :NA

Tentative date of interview: Immediate

Tentative date of joining :Immediate

Interview Process: 2-3