Required Data Scientist,

Summary
We are seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will be passionate about extracting
actionable
insights from complex datasets and developing
predictive
models to drive business outcomes. As a Data Scientist, you will play a key role in
analyzing
large volumes of data, building machine learning models, and delivering data:driven solutions to solve real:world problems.
Your role in our mission
Lead large data science projects and deliver innovative technical solutions to solve problems and improve business outcomes
Design, develop, test, validate, and deploy Machine Learning (ML) /Statistical models to not only learn from our vast amounts of data but to build new products
Work closely with engineers to deploy models to production both in batch and real time while systematically tracking model performance
Build complex data sets from multiple data sources and write complex data flows using SQL, Spark and scripting languages (e.g., Python, R)
Use data visualization tools (e.g., Tableau, Kibana, Zeppelin) to share ongoing insights
Present findings to both technical and non:technical audiences
Function as a subject matter expert on machine learning and
predictive
modeling
Assist engagements with key business stakeholders in discussion on business opportunities
Be an evangelist driving wider adoption of analytics across the enterprise
Knowledge, Skills and Abilities:
Ability to deliver on large scale data science projects
Ability to translate business customer problems and questions into clear requirements for analysis
Ability to use data visualization tools proficiently
Ability to build complex data sets from multiple data sources and write complex data flows
Ability to write complex and efficient SQL code freehand from scratch
Ability to wrangle and analyze data using Python or R
Strong understanding of statistics and probability
Proficient in Microsoft Power Point, Outlook and Word
Ability to work under pressure while managing competing demands and deadlines
Good understanding of Agile methodology
Experience with machine learning is a plus
What were looking for
Qualifications
Minimum Education
Bachelor 's Degree in Computer Science, Statistics, Applied Mathematics, or relevant major required.
M.S., or PhD. in Statistics, Computer Science, Mathematics, Physics, Economics, or other quantitative field preferred.
Minimum Related Work Experience
10 years ' of industry experience in Data Science/Machine Learning as a mid:senior data scientist/technical lead developing ML models with business impact.
10 years ' hands:on, industry experience with data and languages such as SQL, Python, R, Scala
Good experience in data analysis using Relational Databases, SQL, and Hadoop
Good experience in leading complex data science projects from development to production, end:to:end
Good experience in designing and implementing ML pipelines in production environments
Good experience with Apache Spark (including Datasets, SparkML) and other Big Data analytics tools (e.g. Hadoop ecosystem, PySpark, GraphML)
Experience with 2 or more additional modeling techniques (i.e. Natural Language Processing, Deep Learning, Time Series Analysis, Optimization algorithms) is a plus
Experience with one or more deep learning libraries (e.g., TensorFlow, PyTorch, Caffe) is a plus.
Experience implementing solutions in a cloud environment (AWS or Azure) is a plus.
Experience from working in Lean and Agile environments is a plus.
What you should expect in this role
Fast:paced,challenging and rewarding work environment.
Hybrid Office environment.
Will require late evening work to overlap US work hours.

Job Type: Permanent