Senior Associate Data Scientist

ProArch

Senior Associate Data Scientist driving advanced analytics and machine learning solutions at ProArch. Collaborating with cross-functional teams to deliver innovative data science applications that impact business outcomes.

Posted 6/3/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Design, develop, and deploy advanced analytics, machine learning, and predictive modeling solutions to solve complex business challenges.
Lead the development of forecasting, classification, regression, clustering, and optimization models.
Apply statistical techniques and analytical methodologies to uncover actionable insights from structured and unstructured data.
Drive the adoption of best practices in data science, machine learning, and model governance.
Build, train, evaluate, and deploy machine learning models using industry-standard frameworks and tools.
Develop scalable and production-ready ML solutions that meet enterprise performance, reliability, and governance requirements.
Implement model monitoring, validation, retraining, and performance optimization strategies.
Ensure analytical models align with business objectives and deliver measurable value.
Design and develop end-to-end analytical solutions leveraging Azure Synapse Analytics.
Build and optimize data pipelines, data transformations, and integrated analytics workflows.
Collaborate with data engineering teams to ensure efficient data ingestion, preparation, and accessibility.
Partner with business leaders, product teams, architects, and engineering teams to identify opportunities for data-driven decision-making.
Translate complex analytical findings into clear business recommendations and actionable insights.
Communicate effectively with stakeholders across all organizational levels, including senior leadership and C-suite executives.
Lead discovery workshops, requirements-gathering sessions, and solution design discussions.
Define analytical approaches, success metrics, and implementation roadmaps aligned with business goals.
Evaluate solution feasibility, risks, and expected business outcomes.
Stay current with emerging trends, technologies, and methodologies in Data Science, Artificial Intelligence, and Machine Learning.
Identify opportunities to improve analytical processes, automation, and model effectiveness.
Provide technical leadership and guidance to data scientists, analysts, and project teams.
Review model design, implementation approaches, and analytical outputs to ensure quality and consistency.
Support capability development through coaching, mentoring, and knowledge sharing.

Requirements

What you’ll need

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field.
10–15 years of experience in Data Science, Machine Learning, Advanced Analytics, or related disciplines.
Strong expertise in predictive modeling, forecasting, classification, regression, and statistical analysis.
Extensive experience developing and deploying enterprise-grade machine learning solutions.
Hands-on experience with Azure Synapse Analytics, including data pipelines, analytical models, and integrated analytics solutions.
Advanced programming proficiency in Python and SQL.
Experience with machine learning frameworks and libraries such as:
- Scikit-Learn
- XGBoost
- TensorFlow
- PyTorch
- Similar ML frameworks
Strong knowledge of model evaluation, experimentation methodologies, feature engineering, and performance optimization.
Experience working with large-scale structured and unstructured datasets.
Proven experience delivering production-grade data science solutions within enterprise environments.
**Preferred Qualifications**
Experience working in cloud-based analytics environments, particularly Microsoft Azure.
Exposure to MLOps, model deployment automation, and model lifecycle management.
Experience leading enterprise AI and digital transformation initiatives.
Knowledge of data governance, responsible AI practices, and model risk management.
Experience working in consulting, professional services, or customer-facing environments.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account ProArch Website LinkedIn All Job Openings 201 - 500 employees 🤖 Artificial Intelligence 🔒 Cybersecurity Artificial Intelligence
Cybersecurity
Cloud ProArch is a technology company that specializes in providing digital engineering, cloud services, data and AI solutions, and cybersecurity measures. They help businesses unleash their full potential by modernizing operations, protecting assets, and delivering data-driven insights. ProArch works closely with clients to eliminate roadblocks to growth and aligns advanced technology solutions with business goals to empower organizational success. As an award-winning Microsoft Gold Partner, they offer a wide range of services including AI consulting, software development, quality assurance, infrastructure management, governance, risk, and compliance solutions, and operational technology services. Their expertise extends to industries such as credit unions, power generation, and manufacturing, providing tailored solutions to meet each sector's unique challenges. Senior Associate Data Scientist 🔥 1 hour ago 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, develop, and deploy advanced analytics, machine learning, and predictive modeling solutions to solve complex business challenges.
Lead the development of forecasting, classification, regression, clustering, and optimization models.
Apply statistical techniques and analytical methodologies to uncover actionable insights from structured and unstructured data.
Drive the adoption of best practices in data science, machine learning, and model governance.
Build, train, evaluate, and deploy machine learning models using industry-standard frameworks and tools.
Develop scalable and production-ready ML solutions that meet enterprise performance, reliability, and governance requirements.
Implement model monitoring, validation, retraining, and performance optimization strategies.
Ensure analytical models align with business objectives and deliver measurable value.
Design and develop end-to-end analytical solutions leveraging Azure Synapse Analytics.
Build and optimize data pipelines, data transformations, and integrated analytics workflows.
Collaborate with data engineering teams to ensure efficient data ingestion, preparation, and accessibility.
Partner with business leaders, product teams, architects, and engineering teams to identify opportunities for data-driven decision-making.
Translate complex analytical findings into clear business recommendations and actionable insights.
Communicate effectively with stakeholders across all organizational levels, including senior leadership and C-suite executives.
Lead discovery workshops, requirements-gathering sessions, and solution design discussions.
Define analytical approaches, success metrics, and implementation roadmaps aligned with business goals.
Evaluate solution feasibility, risks, and expected business outcomes.
Stay current with emerging trends, technologies, and methodologies in Data Science, Artificial Intelligence, and Machine Learning.
Identify opportunities to improve analytical processes, automation, and model effectiveness.
Provide technical leadership and guidance to data scientists, analysts, and project teams.
Review model design, implementation approaches, and analytical outputs to ensure quality and consistency.
Support capability development through coaching, mentoring, and knowledge sharing. 🎯 Requirements
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field.
10–15 years of experience in Data Science, Machine Learning, Advanced Analytics, or related disciplines.
Strong expertise in predictive modeling, forecasting, classification, regression, and statistical analysis.
Extensive experience developing and deploying enterprise-grade machine learning solutions.
Hands-on experience with Azure Synapse Analytics, including data pipelines, analytical models, and integrated analytics solutions.
Advanced programming proficiency in Python and SQL.
Experience with machine learning frameworks and libraries such as:
- Scikit-Learn
- XGBoost
- TensorFlow
- PyTorch
- Similar ML frameworks
Strong knowledge of model evaluation, experimentation methodologies, feature engineering, and performance optimization.
Experience working with large-scale structured and unstructured datasets.
Proven experience delivering production-grade data science solutions within enterprise environments.
**Preferred Qualifications**
Experience working in cloud-based analytics environments, particularly Microsoft Azure.
Exposure to MLOps, model deployment automation, and model lifecycle management.
Experience leading enterprise AI and digital transformation initiatives.
Knowledge of data governance, responsible AI practices, and model risk management.
Experience working in consulting, professional services, or customer-facing environments. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Data Scientist 🕒 Yesterday Thomson Reuters 10,000+ employees 💸 Finance 📱 Media ☁️ SaaS Website LinkedIn All Job Openings Senior Data Scientist developing analytical frameworks and machine learning models at Thomson Reuters. Collaborating with stakeholders and presenting insights from data analysis in a hybrid work environment. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist Data Science Specialist 🕒 May 26 Randstad 10,000+ employees 🎯 Recruiter 👥 HR Tech Website LinkedIn All Job Openings Data Science Specialist delivering data analysis and reporting for global clients. Building dashboards and conducting data investigations to support strategic initiatives and decision-making. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Senior Specialist, Data Science 🕒 May 26 Randstad 10,000+ employees 🎯 Recruiter 👥 HR Tech Website LinkedIn All Job Openings Senior Specialist, Data Science at Randstad enhancing data accessibility and strategic decision-making. Involves assisting data processing, analysis, and developing machine learning pipelines. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist Engr III Consultant – Data Science 🕒 May 21 Verizon 10,000+ employees 📡 Telecommunications 👥 B2C 🏢 Enterprise Website LinkedIn All Job Openings Data Analyst supporting data modeling and creating analytical models to generate business insights at Verizon. Collaborating with stakeholders to fulfill data requirements and ensure quality data processes. 🏢🏡 Hyderabad – Hybrid 🔥 Funding within the last year 💰 $2.3G Post IPO debt on 2025-08 ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Senior Data Scientist 🕒 May 19 Syneos Health 10,000+ employees 🧬 Biotechnology 💊 Pharmaceuticals ⚕️ Healthcare Insurance Website LinkedIn All Job Openings Data Scientist role at Syneos Health developing data science solutions and innovative products in life sciences. Responsibilities include data consolidation, analysis, and mentoring team members. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist View More Data Science Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

predictive modelingforecastingclassificationregressionstatistical analysisfeature engineeringperformance optimizationdata pipelinesmachine learningadvanced analytics

Soft Skills

communicationleadershipcollaborationmentoringcoachingproblem-solvingstakeholder engagementrequirements gatheringanalytical thinkingbusiness acumen