Mh Engineer technical publication Jobs – 83 Open Jobs Today

Data Science - II
ProcDNA —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Microsoft Office
On Site Service Technician - Level II
Cummins Inc. —Pune, Maharashtra
- Customer service
- Microsoft Office
- Analysis skills
2d
Lead ML & AI Engineer
HERE Technologies —Mumbai, Maharashtra
- Full-time
- Doctoral degree
- Computer Science
- Java
Lead Architect
Orange Business —Navi Mumbai, Maharashtra
- Azure
- Computer Science
- Salesforce
- Health insurance
- Work from home
Content Analyst
AlphaSense —Mumbai, Maharashtra
- Google Suite
- Microsoft Excel
- Research
Associate Product Manager
WebEngage —Mumbai, Maharashtra
- Master's degree
- Analysis skills
- Bachelor's degree
- Health insurance
- Paid sick time
Quick apply
Specification Engineer (West 2)
Leviat —Mumbai, Maharashtra
- Full-time
- Civil engineering
- Computer literacy
- English
- Health insurance
Quick apply
Lead Architect
MasORange —Navi Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Salesforce
- Health insurance
- Work from home
Sr ML & AI Engineer
HERE Technologies —Mumbai, Maharashtra
- Full-time
- Doctoral degree
- Java
- Master's degree
11d
Large Language Model Architect
Accenture —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
8d
Senior Security Engineer AI/ML
Qualys —Pune, Maharashtra
- Full-time
- Research
- Master's degree
- Analysis skills
- Health insurance
Senior Director - Innovations
Intelehealth —Nashik, Maharashtra
- Full-time
- Management
- AI
- Leadership
- Health insurance
- Flexible schedule
Lead Product Manager - Crimson Interactive
Crimson Interactive —Mumbai, Maharashtra
- Full-time
- Doctoral degree
- English
- Research
Senior System Software Engineer, Speech AI
NVIDIA —Pune, Maharashtra
- Full-time
- Computer Science
- Master's degree
- C++
Sales Engineer (West 1 Region)
Leviat —Mumbai, Maharashtra
- Full-time
- Civil engineering
- Sales
- Construction experience
- Health insurance
Quick apply
Lead - AI
SoftTech Engineers —Pune, Maharashtra
- Azure
- Computer Science
- Master's degree
Quantitative Investment Strategies, Vice President, Institutional Equity Division
Morgan Stanley —Mumbai, Maharashtra
- Full-time
- Java
- Master's degree
- C++
Sales Engineer (North Region)
Leviat —Mumbai, Maharashtra
- Full-time
- Civil engineering
- Sales
- Construction experience
- Health insurance
Quick apply
Associate Lead Testing
Quantiphi —Mumbai, Maharashtra
- Full-time
- Computer Science
- Master's degree
- SQL
Sales Engineer
Press Room Automation And Feed Fixtures (I) —Amarnath, Maharashtra
- Customer service
- Presentation skills
- Negotiation

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Data Science - II

ProcDNA
Pune, Maharashtra

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Job details

Full-time

Qualifications

CI/CD
Power BI
Azure
Statistics
Computer Science
Software deployment
R
Microsoft Office
Tableau
Survival analysis
SQL
AWS
Market research
Docker
Machine learning
Continuous integration
Mentoring
EMR systems
Data science
Python
Analytics

Full job description

Job Overview

As a Data Scientist, you will play a key role in delivering end-to-end data science solutions across pharmaceutical and healthcare engagements. The role demands a blend of technical depth, business acumen, and scientific curiosity. You will translate complex business problems into analytical frameworks, develop scalable machine learning and statistical solutions, and generate actionable insights that drive commercial, clinical, and operational impact for clients and patients worldwide. Beyond technical execution, you are expected to think strategically, framing business challenges, designing analytical approaches, and guiding clients toward the most effective data-driven decisions.

Key Responsibilities

Own day-to-day execution of data science projects from problem definition to deployment, ensuring methodological rigor, business relevance, and timely delivery
Build, tune, and validate advanced machine learning and statistical models, including supervised techniques (classification, regression, uplift), unsupervised methods (clustering, PCA, GMM), transformer models, and analytical frameworks (hypothesis testing, causal inference, survival analysis) using industry-standard libraries
Develop clean, modular, and production-ready code with reusable components, adhering to best practices in version control, documentation, and scalable pipeline design for deployment in production or client-facing environments
Synthesize insights from diverse data sources, including claims, prescription (LAAD), lab, EMR, and unstructured text, into clear narratives driving client decisions tailored to patient, HCP, and market contexts
Collaborate with consultants, domain experts, and engineers to structure analytical workflows that answer complex commercial or clinical questions.
Present findings and insights to internal and client stakeholders in a clear, structured, and actionable manner.
Actively participate in client discussions, supporting solution development and storyboarding for business audiences

Required Skills

Strong hands-on experience in Python, PySpark, and SQL for manipulating and handling large structured and unstructured datasets.
Strong foundation in machine learning algorithms, feature engineering, model tuning, and evaluation techniques
Proficiency in data visualization (Power BI, Tableau, MS Office suite or equivalent) and in translating analytical results effectively.
Ability to structure ambiguous business problems, design analytical roadmaps, and communicate insights effectively to both technical and non-technical stakeholders.

Preferred Skills

Prior experience in the pharmaceutical or life sciences industry, with familiarity across structured data sources such as LAAD, Lab, Sales, and unstructured datasets (e.g., market research, physician notes, publications).
Experience with R, Rshiny, and data platforms such as Databricks, AWS, Azure, or Snowflake is an advantage.
Exposure to MLOps frameworks, including MLflow, Docker, Airflow, or CI/CD pipelines, to automate model training, deployment, and monitoring in scalable production environments.
Experience mentoring junior analysts or collaborating in cross-functional data science teams.
Qualifications

Bachelorâ€™s or Masterâ€™s degree in Computer Science, Statistics, Mathematics, Data Science, or related fields.
4-6 years of professional experience in data science, analytics, or advanced modeling roles
Proven ability to balance analytical rigor with business understanding, delivering models that are explainable, actionable, and production-ready

Apply Now

Refine Your Search

engineer technical publication jobs in mh

Data Science - II

On Site Service Technician - Level II

Lead ML & AI Engineer

Lead Architect

Content Analyst

Associate Product Manager

Specification Engineer (West 2)

Lead Architect

Sr ML & AI Engineer

Large Language Model Architect

Senior Security Engineer AI/ML

Senior Director - Innovations

Lead Product Manager - Crimson Interactive

Senior System Software Engineer, Speech AI

Sales Engineer (West 1 Region)

Lead - AI

Quantitative Investment Strategies, Vice President, Institutional Equity Division

Sales Engineer (North Region)

Associate Lead Testing

Sales Engineer

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