Job Description

• 
  NA

Experience
6 - 15 years



Offered Salary



Notice Period
Not Disclosed

Data Scientist / Data Analyst
This position will be responsible for Finance Analytics product offerings thereby generate Business Performance Improvement opportunities for the Stake Holders. Our Client is looking for an experienced Senior Data Scientist to join our talented engineering team. As our data guru, you\xe2\x80\x99ll be responsible for analyzing the large data set and making recommendations that will impact major business decisions. They are looking for a proven technical leader that can excel in a fun, fast-moving startup environment and help them elevate their customer experience.


Job Responsibilities

• 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 sales projections, processes, 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 modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop 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.
• Develop algorithms and predictive models, create prototype systems and visualizations
• Implement and keep models in optimal production state
• Strong data & visual presentation skills and ability to explain insights using tools like tableau, D3 charts or other tools.
• Experience working with big data tools such as MapReduce, Pig, Spark and NoSQL data will be an add-on
• Must have end-end hands-on experience in delivering & implementing data analytics models in production. Must have skills, such as Synthesizing data, defining the problem, feature engineering, building the model, deploying the same in production.
• Ability to work closely with others to execute projects rapidly in a multi-disciplinary environment
• Demonstrated data science experience in the Sales & Marketing domain with at least 3 to 4 projects delivered end-to-end, Ability to collaborate business and data science.
• Strong project management skills, a passion to drive task based processes to successful completion \xe2\x80\x93 organized, strong communicator, high-energy and takes initiative
• Consultative and collaboration skills; able to influence complex stakeholder communities

Education : Bachelor\xe2\x80\x99s degree in computer science, statistics, engineering and relevant fields,

Experience : with 6+ years of hands-on experience in the following:

• Statistical analysis tools such as R, Python, SAS, etc.
• Machine learning techniques for classification, regression, clustering, decision trees, text analytics, deep learning & time-series data etc.
• Scripting languages such as Python, Perl, Ruby, etc.

Strong communicator written and oral; able to work effectively with remote, global project teams