PMO Professional - Data Science - Consulting Firm

Detailed role description : 

- 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.

- Work with extended development and visualization team to be able to train and develop data sciences capability in the team.

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

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

- Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc.

- Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SPARK

- Good comprehension skills to understand the practice leadership's business requirements. Industry expertise would be an added advantage.

- Define data requirements for creating a model and understand the business problem

- Clean, aggregate, analyze, interpret data and carry out quality analysis of it

- Analytical skills; detects, analyzes and solves work problems

TOP REQUIRED BEHAVIORS AND SKILLS

- 7-10 years of work experience in Data sciences/ predictive analytics with reputed organization is desirable.

- Good at managing a network of senior stakeholders and driving change through influencing skills

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

- Leadership and strategic thinking skills

- Strong problem solving skills with an emphasis on Sales and Offering 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.

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

- We're looking for someone with 7-10 years of experience manipulating data sets and building statistical models, has a Master's or PHD 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, SQL, etc.

- Experience using web services: Redshift, S3, Spark, AWS, GCP 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, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

- Experience visualizing/presenting data for stakeholders using: Tableau, Qlik Sense, D3, Power BI, etc.