Data Scientist II
Data Scientist II
Posted on :
22-07-2025
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1 Vacancy
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Job Description
Data Scientist II - 2 positions
Skills : SQL ML GenAi Python / R Statistical Hypothesis testing Powerbi/ Tableau
4years
Salary upto 15lpa
Product Department
Day shift
Location : 4days wfo and 1 day wfh
Company Details:
Trellance is the leading provider of data analytics and business intelligence solutions professional
services and consulting for credit unions. The companys 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 1500 organizations throughout the
United States.
Education Qualification
BE/ B. Tech MCA MSc (Statistics) MBA from Recognized University
Job Description
We are looking for a Data Scientist to join our Data Science team. 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 working on
predictive model use cases and working closely with technical and functional stakeholders in an agile
environment.
Role & Responsibilities
3-6 years of relevant work experience in the Data Science/Analytics domain
Work with the data scientists team and data engineers.
Take ownership of end-to-end data science projects including problem formulation data
exploration feature engineering model development validation and deployment ensuring high-
quality deliverables that meet project objectives.
Responsible for building analytic systems and predictive models as well as experimenting with new
models and techniques.
Collaborate with data architects and software engineers to enable deployment of sciences and
technologies that will scale across the companys 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)
Utilize data visualization tools (Power BI) to deliver insights to stakeholders.
Competencies and Technical Skills
Degree holder in computer science or related discipline
Proficiency in SQL and database querying for data extraction and manipulation.
Skills : SQL ML GenAi Python / R Statistical Hypothesis testing Powerbi/ Tableau
4years
Salary upto 15lpa
Product Department
Day shift
Location : 4days wfo and 1 day wfh
Company Details:
Trellance is the leading provider of data analytics and business intelligence solutions professional
services and consulting for credit unions. The companys 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 1500 organizations throughout the
United States.
Education Qualification
BE/ B. Tech MCA MSc (Statistics) MBA from Recognized University
Job Description
We are looking for a Data Scientist to join our Data Science team. 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 working on
predictive model use cases and working closely with technical and functional stakeholders in an agile
environment.
Role & Responsibilities
3-6 years of relevant work experience in the Data Science/Analytics domain
Work with the data scientists team and data engineers.
Take ownership of end-to-end data science projects including problem formulation data
exploration feature engineering model development validation and deployment ensuring high-
quality deliverables that meet project objectives.
Responsible for building analytic systems and predictive models as well as experimenting with new
models and techniques.
Collaborate with data architects and software engineers to enable deployment of sciences and
technologies that will scale across the companys 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)
Utilize data visualization tools (Power BI) to deliver insights to stakeholders.
Competencies and Technical Skills
Degree holder in computer science or related discipline
Proficiency in SQL and database querying for data extraction and manipulation.
Proficiency in programming languages such as Python/R and experience with data manipulation and
analysis libraries (e.g. NumPy pandas scikit-learn).
Familiarity with data visualization tools (e.g. Tableau Power BI) and proficiency in presenting
complex data visually.
Solid understanding of experimental design A/B testing and statistical hypothesis testing.
Proven hands-on experience with machine learning algorithms and parameter tuning including
Ensemble methods (Random Forest XGBoost) Logistic Regression Support Vector Machines (SVM)
and clustering techniques (e.g. K-Means DBSCAN).
Familiarity with Generative AI concepts and AI Agents is a plus.
Excellent verbal and written communication skills with the ability to effectively convey complex
concepts to both technical and non-technical stakeholders
Experience with Snowflake is not necessary but preferable.
analysis libraries (e.g. NumPy pandas scikit-learn).
Familiarity with data visualization tools (e.g. Tableau Power BI) and proficiency in presenting
complex data visually.
Solid understanding of experimental design A/B testing and statistical hypothesis testing.
Proven hands-on experience with machine learning algorithms and parameter tuning including
Ensemble methods (Random Forest XGBoost) Logistic Regression Support Vector Machines (SVM)
and clustering techniques (e.g. K-Means DBSCAN).
Familiarity with Generative AI concepts and AI Agents is a plus.
Excellent verbal and written communication skills with the ability to effectively convey complex
concepts to both technical and non-technical stakeholders
Experience with Snowflake is not necessary but preferable.
Employment Type
Full-time
Key Skills
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