USEReady Inc. was founded in 2011 and our mission is to help organizations succeed by fast tracking their business performance. We relentlessly strive towards value-driven innovation using advanced BI, data management, and infrastructure management services.
With offices in New York, New Jersey and Bangalore, our global delivery service is enriched with winning strategies, technology expertise and customer fanaticism. We have a proven track record of success in various domains such as capital markets, insurance, healthcare, pharma, retail and media.
Ranked #113 in Inc. 5000 Red Herring Top 100 North America Winner Tableau Gold Partner for 5 consecutive years Tableau Services Partner of the Year 2015 Tableau Services & Training and Alliance partner nominee of the year 2016 Alteryx, Collibra, Snowflake, AWS & Microsoft Partner Key partners for Informatica 2017 Tableau Software Partner Award Winners Marketing Innovation Award - Tableau 2018
USEReady is searching for an experienced Data Scientist to enable the development of their sales analytics strategy. The ideal candidate will produce detailed data models monitor performance trends while driving optimization opportunities for sales teams. The ideal candidate will act as a lead with key stakeholders across the sales and marketing organizations. The position involves working with structured and unstructured data. Candidates must be well spoken and independent thinkers that have the ability to work with limited supervision. Responsibilities & Education
Build predictive models to inform advanced insights, account prioritization, action items, campaign optimization, and testing
Drive predictive analytics to identify core opportunities to drive business value, utilizing machine learning techniques such as logistic regression, collaborative filtering, sentiment analysis and modeling
Masters from an accredited college/university in Computer Science, Statistics, Mathematics, Operations Research, or related field
2 years MINIMUM working as a Data Scientist
Demonstrated experience building deployed prediction models
Strong analytical mind and business knowledge; ability to translate mathematical models and results into business concepts
Fluency in English required
Predictive models in R or Python (Pandas/PySpark)
Large scale distributed computing and analytics (Hadoop, Spark)
Detailed Knowledge of SQL
Experience with source control and collaboration tools (e.g. Git)
Azure, AWS, Google Cloud
Experience in data engineering a plus
Tableau experience a plus
Software development / engineering experience a plus
Experience in scaled model testing, integration, and deployment (DevOps) a plus
Experience working in Microsoft tech stack including SQL Server and Azure preferred
- provided by Dice Associated topics: data analyst, data engineer, data integration, data management, data warehousing, database, mongo database, mongo database administrator, sybase, teradata
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.