Data Scientist/ Data Analyst
Splashgain
Data Scientist/ Data Analyst
- Working Experience: 0 to 5 Years
- Any candidate with Data Science Certifications or hands on experience in Data Science/ Stat domain would be preferred.
- Support our product, sales, leadership and marketing teams with insights gained from analyzing company data.
- The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
- Experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
- Ability to drive business results with their data-based insights, comfortable working with a wide range of stakeholders and functional teams.
- Discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
- Responsibilities for Data Scientist
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyse 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. - Predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Work with functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Strong problem solving skills with an emphasis on product development. - Experience /Knowledge 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.
- Coding knowledge and experience with languages: python,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.
- Knowledge / Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
- Knowledge / Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Knowledge / Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst,Adwords, etc
- Knowledge / Experience visualizing/presenting data for stakeholders
To apply for this job please visit www.splashgain.com.
15% Off ₹4,870.00 ₹4,139.00
