Job Description

About Tredence

Tredence is a global analytics services and solutions company. We are one of the fastest growing private companies in the country for three straight years according to the Inc. 5000 and we continue to set ourselves apart from our competitors by attracting the greatest talent in the data analytics and data science space. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in building Scalable Big Data Solutions on Onprem/GCP/Azure cloud in a very cost effective and easily scalable manner for our clients. We also come in with some strong IP and pre-built analytics solutions in data mining, BI and Big Data.

Job Summary

• Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline)
• Good programming skills in Python with strong working knowledge of Python\'s numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc.
• Experience with SQL, Excel, Tableau/ Power BI, PowerPoint
• Predictive modelling experience in Python (Time Series/ Multivariable/ Causal)
• Experience applying various machine learning techniques and understanding the key parameters that affect their performance
• Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs
• Excellent verbal and written communication
• Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects.

Job Location

Bangalore/Gurgaon/Chennai/Pune/Kolkata

Roles & Responsibilities

• Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities:
• Connect with internal / external POC to understand the business requirements
• Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis
• Create project plan and sprints for milestones / deliverables
• Spin VM, create and optimize clusters for Data Science workflows
• Create data pipelines to ingest data effectively
• Assure the quality of data with proactive checks and resolve the gaps
• Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms
• Research whether similar solutions have been already developed before building ML models
• Create optimized data models to query relevant data efficiently
• Run relevant ML / DL algorithms for business goal seek
• Optimize and validate these ML / DL models to scale
• Create light applications, simulators, and scenario builders to help business consume the end outputs
• Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively
• Integrate and operationalize the models in client ecosystem
• Document project artifacts and log failures and exceptions.
• Measure, articulate impact of DS projects on business metrics and finetune the workflow based on feedbacks

Qualification & Experience

Preferred Skills

• Prior People Management Experience for at least a year.
• Excellent Communication Skills.

Education and Experience

• BE/B. Tech/MS/PhD degree in Computer Science or related quantitative field with 8 to 10 years of relevant experience in a team building world class applications in the areas of Predictive Analytics and Data Science.

Why Join Tredence?

There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest and fun-loving people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. Our people are our greatest asset and we value every one of them. Come see why we\'re so successful in one of the most competitive and fastest growing industries in the world.

Tredence