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Pune · On-site · 3-6 Yrs · Sep 28
8 open roles0 posted in 7d8 in 30d
Hiring: Engineering
Job description
Overview
The Specialized Analytics Analyst is an emerging professional role within the TTS Analytics organization.
Responsibilities
- Analyze large and complex datasets to identify patterns, trends, risks, and business opportunities.
- Develop analytical frameworks to solve business problems related to client experience, pricing optimization, customer acquisition, cross-sell, and retention.
- Translate ambiguous business requirements into structured analytical and data science solutions.
- Design, develop, validate, and deploy machine learning models
- Deliver models that generate measurable business value and support decision-making.
- Develop and enhance Generative AI applications leveraging:
- Design, build, and maintain scalable ETL/ELT pipelines and data workflows supporting analytics and AI initiatives.
- Partner with data engineering teams to improve data quality, lineage, governance, and platform scalability.
- Collaborate with business, product, operations, technology, and data teams to prioritize initiatives and deliver impactful solutions.
- Present analytical findings, model outcomes, and recommendations effectively to both technical and non-technical stakeholders, including senior management.
Qualifications
- 3 to 5 years of experience in Data Science, Machine Learning, Advanced Analytics, or related disciplines.
- Demonstrated experience deploying production-grade machine learning or AI solutions.
- Strong proficiency in Python (required)
- Advanced SQL skills
- Supervised and unsupervised learning techniques
- Statistical modeling and hypothesis testing
- Experiment design and A/B testing
- Scikit-learn
- XGBoost and/or LightGBM
- ETL/ELT pipeline development
- Data modeling
- CI/CD implementation for ML workloads
- Model monitoring and performance management
- Version control and deployment frameworks
- Strong analytical and problem-solving skills.
- Ability to identify trends, patterns, and actionable insights from structured and unstructured data.
- Ability to formulate analytical methodologies and independently execute complex analyses.
- Strong verbal and written communication skills.
- Ability to influence stakeholders through data-driven recommendations.
- Comfortable working in cross-functional and matrixed organizations.
- Detail-oriented with strong organizational skills.
- Ability to manage multiple priorities and deliver in a fast-paced environment.
- Strong sense of accountability and ownership for outcomes.
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- Hands-on experience with:
Education
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative discipline.
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Job application FAQ
Last updated 4 October 2026
- How do I apply for Machine Learning Engineer - Python and SQL at Early Career?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Early Career may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Machine Learning Engineer - Python and SQL remote or on-site in Pune, Maharashtra (+1 other)?
- This listing is marked on_site with location Pune, Maharashtra (+1 other). Confirm details on the job description before applying.
- What skills matter for this Machine Learning Engineer - Python and SQL role at Early Career?
- This is a mid-level Machine Learning Engineer - Python and SQL role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.