Data Scientist Senior

Job Description

*Job Description Data ScientistDWS is on a digital transformation journey to design and develop innovative digital products and services that drive value for customers and other stakeholders. This includes using connecting plants using IOT and leveraging AI/ML to deliver descriptive, diagnostic, predictive and prescriptive analytics. We are looking for future leaders who are willing to take roll up their sleeves and define, design and develop the next generation of digital products and services that will power innovation and growth for DWS. We re seeking an experienced data scientist to deliver that insight to us on a daily basis. Our ideal team member will have the mathematical and statistical expertise you d expect, but a natural curiosity and creative mind that s not so easy to find. As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within all with the ultimate goal of realizing the data s full potential. You will join a team of data specialists but will slice and dice data using your own methods, creating new visions for the future.Objectives of this Role

• Collaborate with product design and engineering to develop an understanding of needs
• Research and devise innovative statistical models for data analysis
• Communicate findings to all stakeholders
• Enable smarter business processes and implement analytics for meaningful insights
• Keep current with technical and industry developments

Daily and Monthly Responsibilities

• Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
• Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
• Analyze data for trends and patterns, and Interpret data with a clear objective in mind
• Implement analytical models into production by collaborating with software developers and machine learning engineers.
• Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems

, *Skills and Qualifications

• Bachelor s degree in statistics, applied mathematics, or related discipline
• 7+ years experience in data science
• Experience using Databricks and proficiency in Microsoft Azure platform
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced pattern recognition and predictive modelling experience
• 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, DigitalOcean, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
• Experience analysing 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: Periscope, Business Objects, D3, ggplot, etc. Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects

Preferred Qualifications

• Master s degree in stats, applied math, or related discipline
• 2+ years of project management experience
• Professional certifications

Keyskills :
machine learningpythondata analysissqlanalyticssocial network analysisbig datadata miningtext miningproduct designdecision treeserror analysismicrosoft azure