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Staff Data Scientist

Role overview

Qualifications

  • 6 plus years of data science, machine learning/statistical modeling experience
  • M.S. or Ph.D. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
  • Proficiency in data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software
  • Strong interest in delivering data-driven solutions using ML and AI

Responsibilities

  • Lead groundbreaking projects that leverage AI and machine learning techniques to optimize operations and drive business success
  • Take ownership of the entire lifecycle from model design, training, product ionization, and incremental enhancement
  • Foster a culture of experimentation by designing and scaling rigorous A/B tests to measure business impact
  • Educate internal analytics teams on current and emerging research, technologies, and best practices for leveraging ML and LLM in product design and development

About the company

Veracity Software Inc logo

Veracity Software Inc

Computer Software / SaaS

The definition of Veracity is accuracy and habitual truthfulness. This truly defines our brand in simplistic terms. At Veracity, we believe in doing everything in the ‘Right Way’, which means you have to challenge your own innovations and solutions all the time. Our strength lies in our employees, and with the right blend of business and technical expertise, we set the bar high for Veracity. From inception, Veracity focused on building cloud based SaaS solutions while using the latest and most advanced technology stack. We have delivered cloud based customized solutions and services to various clients across both North America and India. We have a global headquarter in Woodbridge, NJ while our offshore office is in Pune, India. We believe in bringing Global talent together, which helps us in delivering cost effective, yet highly scalable and efficient solutions. With the vision of trying to be one of the trusted IT partners as well as one of the most respected solution providers with an onsite/offshore model, Veracity is equipped with the right set of highly skilled individuals who have expertise in delivering the most effective business services and solutions for our clients. Veracity’s mission is to become the Trusted IT Partner for various businesses across globe.

Company details

IndustryComputer Software / SaaS
Company size51 - 200

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Job description

Staff Data Scientist
Position: FTE, Remote, India
Availability-Immediate-1 week


Overlap: 4 hours with PST (Pacific Standard Time)
Candidate proficiency level: Senior (8+)

Your Mission:

  • Lead groundbreaking projects that leverage AI and machine learning techniques to optimize operations and drive business success.
  • Take ownership of the entire lifecycle from model design, training, product ionization, and incremental enhancement.
  • Foster a culture of experimentation by designing and scaling rigorous A/B tests when needed to measure business impact.
  • Educate internal analytics teams on current and emerging research, technologies, and best practices for leveraging ML and LLM in product design and development.
  • Collaborate with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offering.
  • Establish best practices in data science and mentor future team members to maintain high standards in data governance and insight generation.
  • Communicate effectively with stakeholders across various technical levels, articulating insights and recommendations about your solutions.
  • Cultivate trust with stakeholders by consistently addressing their true fundamental needs and challenges.

A Little More About You:

  • 6+ years of data science, machine learning/statistical modeling experience.
  • Experience implementing theoretical models in an applied environment.
  • M.S. or Ph.D. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field.
  • Strong interest in delivering data-driven solutions using ML and AI.
  • Proficiency in data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software.
  • Solid understanding of statistics, machine learning, operations research, and causal inference. Knowledge of NLP or Bayesian testing is a plus.
  • Insatiable curiosity and bias toward action.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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