Data Engineer/Data Scientist

Data Engineer_Scientist

Job Description :

Location : Hyderabad

Experience : 6 years - 10 years

Job Overview :

- We are looking for a savvy Data Engineer/Scientist to join our team. This candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.

- The ideal candidate is an experienced Data Engineer who has grown into a Data Scientist. The Data Engineer/Scientist will support our software developers, architects, data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Responsibilities for Data- Engineer/Scientist :

- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

- Assess the effectiveness and accuracy of new data sources and data gathering techniques.

- Develop custom data models and algorithms to apply to data sets.

- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

- Develop company A/B testing framework and test model quality.

- Coordinate with different functional teams to implement models and monitor outcomes.

- Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications for Data- Engineer_Scientist :

- Strong problem-solving skills with an emphasis on product development.

- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

- Experience working with and creating data architectures.

- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

- Excellent written and verbal communication skills for coordinating across teams.

- A drive to learn and master new technologies and techniques.

- We are looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master's in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:

- Coding knowledge and experience with several languages: C, C++, Java,

- JavaScript, etc.

- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

- Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

- Experience using web services: Redshift, S3, Spark, etc.

- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

- Experience analyzing data from 3rd party providers: Google Analytics, Crimson Hexagon, Facebook Insights, etc.

- Experience visualizing/presenting data for stakeholders using different tools.

- Working knowledge of message queuing (Kafka or Google Pub/Sub), stream processing, and highly scalable data stores.