Title: Data Scientist

Data Scientist -
• You are highly enthusiastic in uncovering actionable insights from data and conveying these insights to business as stories that stick.• You are a strong analytical person who loves solving business problems using massive data sets.• You interface with leadership and team members to get clarity on your requirements, end goals and deliverables.• You are detail oriented but never loses sight of deadlines. • You always have an eye on the products you deployed and never assumes that everything is ok.• You are comfortable following the procedures and coding standards set by the organization• You have MS or PhD in Mathematics, Computer Science, Engineering, or Economics (required).• You have 2-6 years of experience in sales or marketing functions for consumer products, retail, tech, telecom, or financial industries.• You have 2-4 years of experience in Big Data environment specifically Hive/Spark where you have deployed reliable models that scale smoothly on high-volume (1TB+) & high-dimensionality (500+ variables per schema) data.• You have worked with massive structured/unstructured data sets before and have a strong grip on machine learning techniques especially able to debug an algorithm with ease.• Given a data problem you know the right data science technique to be applied (such as GLM Regression (linear, logit, multinomial), kMeans/Hierarchical Clustering, Principle Component Analysis, & Decision Tree (RF, GBM, XGboost, Neural Networks, Bayesian Statistics, Times Series, & A Priori, etc.).• You are a solid coder who uses either SQL & (Python/Spark/R) to deploy machine learning products into production.

Must have Soft Skills -• Proactive and sometimes Reactive
o "Think and Jump right in" attitude
o Need to be an independent contributor simultaneously valuing feedback from team members• Work Style -
o Be analytical and solve problems without losing sight of end goals
o Detail oriented but never lose sight of deadlines• Procedure Oriented
o Clearly understand and agree on the standards set by the leadership and how they will be evaluated
o Maintain standards most of the time however should voice new procedures and systems• Interpersonal skills-
o Need to be able to empathize with team and be able to control his/her internal state to handle the work load during ambitious targets.
o Given ambitious deadlines be proactive and extract clarity on requirements, deliverables and tasks from PM and leadership• Quality Control -
o Constantly check on models and not assume that things are ok.

Core Responsibilities• Follow agile development principles to develop and deploy cutting edge Data Products and POCs using massive sets of structured and un-structured data.• Ensure the data product is deployed with through testing and is of highest quality• Communicate the results to other members of team in a clear and intuitive manner• Interface with leadership and team members regularly to brain storm ideas, communicate progress and risks.• Use JIRA and Confluence as tools for Agile Project planning• Communicate the progress and results in clear, concise and timely manner with other stake holders
Data - Responsibilities• Always looking out for data resources that enhance the model performance• Clearly communicate with PMs about acquisition of the data sources• Work with team members to develop and design solutions for data products• Write code to clean, munge, analyze, EDA, visualize terabytes of data• Proficient in EDA and visualizations• Proficient in building, testing and deploying scalable and reliable machine learning models• Debug the machine learning models with ease• Understand the upstream and downstream interface requirements and design the solutions accordingly• Get proficient in the in-house Data Science tools• Always looking for avenues for automation in data pipelines wherever applicable• Get comfortable in following "Data Science team" sprint planning procedures• Clearly communicate with DE about deployment requirements• Work with DE to get the data in Data Lake in required format.

Compliance - Responsibilities• Ensure completeness of the product• Make sure that the product is of highest quality • Adept in documenting the Modeling work. Ensure that the documentation is complete and reviewed by Sr. Data Scientists.• Ensure code meets team standards• JIRA for agile development

Should have Knowledge and Experience• Experience in Telecom/retail/e-commerce/consumer packaged goods (CPG), Mobile or Consumer electronics industries• Agile Principles/Scrum/Kanban• Solid understanding of Hadoop (Hive and Impala) & Spark (PySpark/Scala)• Proficient in (Python/Scala/R/Java ) & SQL• Expert in developing and debugging Machine Learning products• Proficient in Data Visualizations

BTI Recruiting Team
[email protected]
BTI Solutions
801 E Campbell Rd. Suite 230, Richardson, Texas 75081, USA
Office:+1-972-992-0030, Fax:+1-972-992-0050