• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 2nd Dec 2022

Title of Position: Lead Data Science

Position reports to: Manager Data Science

Reporting to this Position: Sr. Analyst/ Analyst Data Science

Job Type: Full Time

Company Details:

Trellance is the leading provider of data analytics and business intelligence solutions, professional services, and consulting for credit unions. The company’s solutions and services, together with the patented common data model of its signature M360 product, are used by credit unions to find actionable insights, improve member experience, and achieve portfolio growth. Founded in 1989, Trellance is headquartered in Tampa, Fla. and serves more than 1,500 organizations throughout the United States.

Experience Required:

6-15 years

Education Qualification

BE/ B. Tech, MCA, MSc (Statistics), MBA from Recognized University

Job Description

We are looking for a Lead Data Scientist to head up our Data Science team. The Data science drives all the products we develop here at Trellance. Our products are designed for small to mid-size financial institutions to help them create strategies based on data. The team is responsible for developing ETL process, work on predictive model use-cases and work closely with technical and functional stockholders in agile environment.

Role & Responsibilities

• 5-7 years of relevant work experience in IT/Analytics domain

• Responsible for overseeing the data scientists’ team, machine learning engineers, and data engineers

• Teach, lead, and mentor colleagues on new techniques or solutions

• Lead data mining and collection procedures

• Collaborate with data architects and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem

• Responsible for the conception, planning, and prioritizing of data projects

• Provide support to inexperienced analysts with high-level expertise in an open-source language (e.g., R, Python, etc.)

• Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown)

• Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques

• Ensure that data projects align with organizational goals

• Utilize data visualization tools to deliver insights to stakeholders.

Competencies and Technical Skills

• Degree holder in computer science or related discipline

• Advance proficiency and hands-on experience in SQL server, SSIS and handling of complex queries, script optimization

• Design and develop ETL process and data pipelines into data warehouse (on-prem and cloud solutions)

• Experience with Snowflake is not necessary but preferable

• Knowledge of algorithms and parameter tuning – Ensemble ML methods, Logistic regression, SVM and clustering techniques

• Excellent written and verbal communication skills for coordinating across different teams in English

Thank you