data science architect

Lam Research

<div><div><div><div>Requisition ID</div><div><b>
192380</b></div></div><div><div>
Date posted</div><div><b>
12/18/2025</b></div></div><div><div>
Work Location Model</div><div><b>
On-site Flex</b></div></div><div><div>
Work Location</div><div><b>
Bangalore-IN-Bangalore</b></div></div><div><div>
Work Country</div><div><b>
India</b></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>
The group you&rsquo;ll be a part of</b></h2>
</div><div><div>
LIDAS (Lam India Data Analytics and Sciences) team is responsible to provide best-in-class analytics solutions that help improve business decisions in Global Operations and other business sub-functions across Lam. This Organization, a &ldquo;Center of Excellence&rdquo; (CoE), consists of a high-performing team of experts who collaborate cross-functionally and provide analytics solutions to various business functions to suit their business needs. This team strives to improve the productivity &amp; efficiency of business processes through business analytics, data science &amp; automation projects. The resulting projects help accelerate businesses/stakeholders in decision-making by providing data insights. The team continuously develops the required technical skills and business acumen to help solve complex business problems &amp; Use Cases in the semiconductor, manufacturing, and supply chain domains for the company.
</div></div></div><div><div><h2 class="jobSectionHeader"><b>Overview</b></h2>
</div><div><div>
We are seeking a seasoned and visionary AI/ML Solution Architect to lead the design and implementation of our AI/ML infrastructure, ensuring the creation of robust, scalable, and innovative solutions. The ideal candidate will combine deep technical expertise in data science and analytics with a strategic mindset to drive the development of cutting-edge AI/ML architectures. This position also involves deep understanding in implementing ML Solutions into Production with MLOPS and ML Failsafe mechanism.</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2>
</div><div><div>
Responsibilities:</div><ul><li>
Design and implement end-to-end AI/ML architectures that align with business goals and scalability requirements.</li><li>
Provide strategic direction for the integration of advanced analytics, machine learning, and AI technologies.</li><li>
Select and evaluate data science tools, frameworks, and platforms to build a cohesive and efficient data science ecosystem.</li><li>
Experience in delivery ML solution in Cloud environment ( Azure) .</li><li>
Hands On with the ML Model development and derive the right solutions for complex problem</li><li>
Stay abreast of emerging technologies to ensure the continuous evolution of our data science capabilities.</li><li>
Work closely with data scientists, engineers, and business stakeholders to understand requirements and translate them into architectural solutions.</li><li>
Foster a collaborative environment that encourages cross-functional innovation.</li><li>
Establish monitoring mechanisms to track model performance and address issues proactively.</li><li>
Responsible for delivering quick POCs and bringing data insights by using different complex data, and multiple data sources.
</li><li>Responsible to Provide technical leadership for developing end-to-end solutions and offering hands-on guidance.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Mandatory Skills</b></h2>
</div><div><div><b>
Mandatory Skills needed to perform the job:</b></div><div><br>
</div><ul><li>Proven experience as a Data Science Architect, with a track record of successfully implementing complex AI/ML/DL enterprise-wide solutions.</li><li>
Strong proficiency in programming languages (e.g., Python, R) and familiarity with data science libraries and frameworks.</li><li>
Expertise in machine learning, statistical modelling.</li><li>
Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark).</li></ul><ul><li>
Well versed with MLOPS and MLFAILSAFE concepts.</li><li>
Hands-on working experience in project management and agile methodologies. Tools like MS Project, etc.
</li><li>Good skills in managing Stakeholders&rsquo; (internal and external) Expectations.
</li><li>Strategic thinker with the ability to align technical solutions with business objectives.</li><li>
Excellent communication and leadership skills.</li><li>
Strong problem-solving and decision-making abilities.</li><li>
Ability to thrive in a dynamic and collaborative work environment.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred qualifications</b></h2>
</div><div><ul><li><b>Years of Experience</b>: Minimum 8 to 12 years</li><li><b>
Job Experience:</b> Expertise in developing Data Science enterprise-wide sustainable solution, BI Applications, and Analytics. Design &amp; Architecture.
</li><li><b>Educational</b>: Master's or Ph.D. in Computer Science, Data Science, or a related field.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Our commitment</b></h2></div><p></p><div><p><br>
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.</p><p>
Lam Research (&quot;Lam&quot; or the &quot;Company&quot;) is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.</p><p><i>
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories &ndash; On-site Flex and Virtual Flex. &lsquo;On-site Flex&rsquo; you&rsquo;ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. &lsquo;Virtual Flex&rsquo; you&rsquo;ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.</i></p></div></div></div></div></div></div>

Data Scientist 3

REIZEND PRIVATE LIMITED

<p><b>Location - Trivandrum</b><br/><b>Work from office</b><br/><b>Experience - 6+ Years</b><br/><b>Salary- 18 - 28 LPA</b><br/><b>Job Types: Full-time, Permanent</b></p><p><b>Brief Description</b></p><p>1.Designing technology systems: Plan and design the structure of technology solutions, and work with design and development teams to assist with the process.</p><p>2.Communicating:Communicate system requirements to software development teams, and explain plans to developers and designers. They also communicate the</p><p>value of a solution to stakeholders and clients.</p><p>3.Managing Stakeholders:Work with clients and stakeholders to understand their vision for the systems. Should also manage stakeholder expectations.</p><p>4.Architectural Oversight:Develop and implement robust architectures for AI/ML and data science solutions, ensuring scalability, security, and performance. Oversee</p><p>architecture for data-driven web applications and data science projects, providing guidance on best practices in data processing, model deployment, and end-to-end</p><p>workflows.</p><p>5.Problem Solving:Identify and troubleshoot technical problems in existing or new systems. Assist with solving technical problems when they arise.</p><p>6.Ensuring Quality:Ensure if systems meet security and quality standards. Monitor systems to ensure they meet both user needs and business goals.</p><p>7.Project management:Break down project requirements into manageable pieces of work, and organise the workloads of technical teams.</p><p>8.Tool &amp; Framework Expertise:Utilise relevant tools and technologies, including but not limited to LLMs, TensorFlow, PyTorch, Apache Spark, cloud platforms (AWS,</p><p>Azure, GCP), Web App development frameworks and DevOps practices.</p><p>9.Continuous Improvement:Stay current on emerging technologies and methods in AI, ML, data science, and web applications, bringing insights back to the team to foster continuous improvement.</p><p><b>Skills</b></p><p>1. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for developing machine learning and deep learning models.</p><p>2. Knowledge or experience working with self-hosted or managed LLMs.</p><p>3. Knowledge or experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging</p><p>Face Transformers) and familiarity with Computer Vision frameworks like OpenCV and related libraries for image processing and object recognition.</p><p>4. Experience or knowledge in back-end frameworks (e.g., Django, Spring Boot, Node.js, Express etc.) and building RESTful and GraphQL APIs.</p><p>5. Familiarity with microservices, serverless, and event-driven architectures. Strong understanding of design patterns (e.g., Factory, Singleton, Observer) to ensure code scalability and reusability.</p><p>6. Proficiency in modern front-end frameworks such as React, Angular, or Vue.js, with an understanding of responsive design, UX/UI principles, and state management (e.g., Redux)</p><p>7. In-depth knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), as well as caching solutions (e.g., Redis, Memcached).</p><p>8. Expertise in tools such as Apache Spark, Hadoop, Pandas, and Dask for large-scale data processing.</p><p>9. Understanding of data warehouses and ETL tools (e.g., Snowflake, BigQuery, Redshift, Airflow) to manage large datasets.</p><p>10. Familiarity with visualisation tools (e.g., Tableau, Power BI, Plotly) for building dashboards and conveying insights.</p><p>11. Knowledge of deploying models with TensorFlow Serving, Flask, FastAPI, or cloud-native services (e.g., AWS SageMaker, Google AI Platform).</p><p>12. Familiarity with MLOps tools and practices for versioning, monitoring, and scaling models (e.g., MLflow, Kubeflow, TFX).</p><p>13. Knowledge or experience in CI/CD, IaC and Cloud Native toolchains.</p><p>14. Understanding of security principles, including firewalls, VPC, IAM, and TLS/SSL for secure communication.</p><p>15. Knowledge of API Gateway, service mesh (e.g., Istio), and NGINX for API security, rate limiting, and traffic management.</p><p>Job Types: Full-time, Permanent</p><p>Pay: ₹1,800,000.00 - ₹2,800,000.00 per year</p><p>Work Location: In person</p>

Senior Technology Analyst (6+ Years Exp)

r3 Consultant

<div><h2 class="jobSectionHeader"><b>Description</b></h2>
<p>
r3 Consultant is looking for a Data Architect to join our dedicated team in Noida. This full-time, on-site position provides a unique opportunity to shape data strategies and architecture within the staffing and recruiting industry, ensuring our solutions meet the evolving needs of our clients.
</p>
<p>As a Data Architect, you will play a crucial role in designing and implementing robust data models and infrastructure that support efficient data management and analytics. Your expertise will help us drive data-driven decision-making across our organization and enhance the overall efficiency of our operations.
</p>
<p>We offer a competitive salary range of ₹4,000,000 - ₹5,500,000 annually, along with a comprehensive benefits package and opportunities for career development and growth within the company.
</p>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3>
<ul><li>Design and develop data architecture solutions that meet business requirements</li>
<li>Ensure data integrity and consistency across systems</li>
<li>Collaborate with stakeholders to identify data needs and create effective data models</li>
<li>Implement best practices for data management and governance</li>
<li>Monitor and optimize data systems for performance and scalability</li>
<li>Develop and enforce data security and compliance measures</li>
<li>Work closely with IT teams to integrate new data solutions into existing infrastructures</li>
<li>Stay updated with industry trends and emerging technologies in data management</li>
</ul><h3 class="jobSectionHeader"><b>Requirements</b></h3>
<ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field</li>
<li>5+ years of experience in data architecture or a related role</li>
<li>Strong proficiency in database management systems (SQL, NoSQL)</li>
<li>Experience with data modeling and design techniques</li>
<li>Proficient in data warehousing and ETL processes</li>
<li>Excellent analytical and problem-solving skills</li>
<li>Strong communication and collaboration abilities</li>
<li>Knowledge of data governance and security practices</li></ul></div>

Data Architect

Siemens

<div><div><div><div><div><div><b>Job ID
</b></div><div>488169
</div></div><div><div><b>Posted since
</b></div><div>18-Dec-2025
</div></div><div><div><b>Organization
</b></div><div>Digital Industries
</div></div><div><div><b>Field of work
</b></div><div>Internal Services
</div></div><div><div><b>Company
</b></div><div>Siemens Industry Software (India) Private Limited
</div></div><div><div><b>Experience level
</b></div><div>Early Professional
</div></div><div><div><b>Job type
</b></div><div>Full-time
</div></div><div><div><b>Work mode
</b></div><div>Office/Site only
</div></div><div><div><b>Employment type
</b></div><div>Permanent
</div></div><div><div><b>Location(s)
</b></div><div>Pune - Maharashtra - India<br>
<ul><li>
</li></ul></div></div></div></div></div><div></div><div><div><div><div><div><div><br>
<div><p>We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation&mdash; helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.</p><p>
Are you passionate about using advanced analytics to solve complex business problems? Do you enjoy developing sophisticated algorithms that transform raw data into predictive insights? Are you skilled at translating complex statistical concepts into clear business value? Are you driven to build models that make a tangible difference in customer outcomes?</p><p>
Then you are the perfect candidate to join our Software business as a Customer Health Data Scientist in our innovative data-driven customer success team.</p><p>
Position Overview</p><p>
You will join a newly formed data science team focused on creating a sophisticated customer health scoring system that provides immediate ROI by delivering critical insights to our Sales and Customer Success teams. Your primary focus will be designing and implementing the core algorithms and calculations that power our customer health scoring system.</p><p>
In this role, you'll work alongside a Data Architect and BI Analysts to develop a robust methodology for measuring customer health, establishing meaningful warning thresholds, and creating insightful reports. You will be the key architect of our predictive models, ensuring they accurately identify at-risk customers and enable proactive intervention before churn occurs. You will also work to ensure your data sets are AI-ready with a robust semantic layer for generative and agentic AI use cases.</p><p>
This is the perfect role for you if you have strong statistical modeling skills combined with a passion for translating complex data into business-relevant insights within a SaaS environment. You'll be applying advanced data science techniques to solve real-world customer retention challenges and drive measurable business outcomes.</p><p>
This role will be central to establishing a data science field within our customer success organization. You will revolutionize how we measure, predict, and influence customer health across our SaaS portfolio.</p><p>
Responsibilities</p><ul><li>
Design and develop the core algorithms and methodology for our customer health scoring system</li><li>
Establish meaningful warning thresholds based on statistical analysis of historical customer behavior</li><li>
Create predictive models to identify at-risk customers before traditional metrics show signs of trouble</li><li>
Develop comprehensive reporting systems that communicate customer health insights effectively</li><li>
Develop a semantic layer for key data sets to allow consumption by AI applications</li><li>
Collaborate with the Data Architect to ensure the data structure supports sophisticated analytical models</li><li>
Work with BI Analysts to implement and operationalize your models and calculations</li><li>
Perform exploratory data analysis to uncover patterns and insights in customer behavior</li><li>
Develop segmentation approaches to tailor health metrics for different customer types</li><li>
Continuously refine and improve scoring methodologies based on observed outcomes</li><li>
Translate complex statistical findings into clear, actionable recommendations for business stakeholders</li><li>
Document all models, algorithms, and methodologies to ensure sustainability and knowledge transfer</li></ul><p>
Work Environment</p><ul><li>
This job is a hybrid role that requires you to be in the Siemens Pune office for at least three days each week.</li><li>
You must work according to the US time zones for at least three days each week.</li></ul><p>
Required Knowledge/Skills, Education, and Experience</p><ul><li>
Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field</li><li>
4+proven experience in data science or advanced analytics roles, preferably in a SaaS environment</li><li>
Strong background in statistical modeling and machine learning algorithm development</li><li>
Advanced Python programming skills with experience in data science libraries (pandas, scikit-learn, etc.)</li><li>
Experience with Snowflake or similar cloud data platforms as well as dbt</li><li>
Proven ability to design and implement scoring models or indices based on multiple data sources</li><li>
Experience developing early warning systems or predictive risk models</li><li>
Knowledge of data visualization and reporting standard methodologies</li><li>
Understanding of SaaS business metrics and customer lifecycle dynamics</li><li>
Excellent communication skills with ability to explain complex concepts to non-technical audiences</li><li>
Strong problem-solving capabilities with a results-oriented approach</li><li>
Self-motivated with ability to work independently in a dynamic environment</li></ul><p>
Preferred Qualifications</p><ul><li>
Master&rsquo;s degree in a quantitative field</li><li>
Experience working with customer success or retention teams in SaaS businesses</li><li>
Knowledge of Salesforce CRM or Certinia(or similar customer success platforms)</li><li>
Experience with Tableau Cloud or other advanced data visualization tools</li><li>
Background in churn prediction, customer segmentation, or lifetime value modeling</li><li>
Publication record or demonstrated thought leadership in relevant data science applications</li><li>
Experience working with global, distributed teams</li></ul><p>
We offer a role with responsibility, independence, and the possibility to contribute proactively. You'll be joining an energetic and dynamic team of data and SaaS experts with a highly innovative approach. We foster a collaboration culture with room for individual development and impact, allowing you to apply innovative data science techniques to solve real business challenges.</p><p>
Why us?</p><p>
Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.</p><p>
A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!</p><p>
Siemens Software. Transform the Everyday</p><p>
#LI-PLM</p><p>
#LI-Hybrid</p><p>
#SWSaaS</p></div></div></div></div></div></div></div></div><p></p>

Snowflake Data Scientist for Customer Success

L&T Technology Services Ltd.

<div><div><div>Digitalization Engineer</div><p>LNT/DE/1584099</p><ul>
HYOF-L&amp;T Energy Hydrocarbon - OffshoreAMN Tower, Powai</ul></div><div><div><div><ul><div><div><div>
Posted On</div><div>
18 Dec 2025</div></div></div><div><div><div>
End Date</div><div>
16 Jun 2026</div></div></div><div><div><div>
Required Experience</div><div>
1 - 3 Years</div></div></div></ul></div></div></div></div>
<br><div><div><div>Skills</div></div><div><div><p>
Knowledge &amp; Posting Location</p><div><p>
DATA ANALYSIS AND COORDINATION
</p></div></div><div><p>Minimum Qualification</p><div><p>
BACHELOR OF COMPUTER SCIENCE (BCS)</p></div></div></div></div>
<br><div><div><div>Job Description</div></div><div><p><b>
Role Overview:</b></p><p>
We are seeking a skilled <b>Data Science Engineer</b> to design, develop, and deploy advanced data solutions leveraging Microsoft Azure services/ AWS . The ideal candidate will have strong expertise in cloud architecture, data engineering, machine learning, and ensuring scalable and secure data pipelines and AI models for business insights.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><p><b>
Data Engineering &amp; Integration:</b></p><ul><li>
Design and implement data pipelines using <b>Azure Data Factory</b>, <b>Azure Synapse Analytics</b>, and <b>Azure Databricks</b>.</li><li>
Integrate structured and unstructured data from multiple sources into Azure-based data lakes and warehouses.</li></ul></li><li><p><b>
Machine Learning &amp; AI Development:</b></p><ul><li>
Build and deploy ML models using <b>Azure Machine Learning</b> and <b>Python/R</b>.</li><li>
Optimize model performance and manage lifecycle with <b>MLOps</b> practices.</li></ul></li><li><p><b>
Cloud Architecture &amp; Optimization:</b></p><ul><li>
Architect scalable solutions using <b>Azure Storage</b>, <b>Azure SQL Database</b>, and <b>Azure Kubernetes Service (AKS)</b>.</li><li>
Ensure cost optimization and performance tuning across Azure resources.</li></ul></li><li><p><b>
Security &amp; Compliance:</b></p><ul><li>
Implement data governance, security policies, and compliance standards (GDPR, HIPAA, etc.).</li><li>
Manage role-based access and encryption for sensitive data.</li></ul></li><li><p><b>
Collaboration &amp; Documentation:</b></p><ul><li>
Work closely with data scientists, analysts, and business stakeholders to deliver actionable insights.</li><li>
Document workflows, architecture diagrams, and best practices.</li></ul></li></ul><p></p><p><b>
Required Skills &amp; Qualifications:</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or related field.</li><li>
3+ years of experience in <b>Azure Data Services</b> and <b>Cloud-based Data Engineering</b>.</li><li>
Hands-on experience with <b>Azure Machine Learning</b>, <b>Data Factory</b>, <b>Synapse</b>, and <b>Databricks </b>, <b>AWS</b></li><li>
Strong understanding of <b>ETL processes</b>, <b>data modeling</b>, and <b>big data frameworks</b></li><li>
Excellent problem-solving and communication skills.</li></ul></div></div>

Digitalization Engineer

Tarjama&

<div><p><b>Job Purpose
</b></p><p>We are seeking an experienced Digital Solution Architect to design and deliver end-to-end digital solutions that meet business needs. This role requires a client-facing, strategic thinker who can translate business requirements into scalable, secure, and efficient technology solutions. The ideal candidate will have expertise in designing secure, performant and highly available architecture using cloud or on-prem platforms.</p><p></p><p><b>
Duties &amp; Responsibilities</b></p><ul><li>Gather and analyze business requirements, translating them into technical specifications and architectural diagrams.</li><li>Design digital solutions that are secure, performant and highly available.</li><li>Evaluate and recommend tools, platforms, and deployment options (cloud or on-prem) to meet business and technical needs.</li><li>Explain the rationale behind design decisions and platform/technology choices.</li><li>Ensure solutions comply with security standards, including encryption and decryption requirements.</li><li>Provide technical guidance and leadership to development teams during implementation.</li><li>Collaborate with stakeholders to ensure architecture aligns with business goals.</li><li>Create and maintain detailed documentation of architecture, infrastructure, and process flows to ensure consistent implementation and knowledge sharing.</li></ul><p></p><p><b>
Education, Experience &amp; Qualifications</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.</li><li>5+ years of proven experience as a Solution Architect, Digital Architect, or similar role.</li><li>Strong knowledge of application architecture, cloud services (AWS, Azure, GCP), and on-prem infrastructure.</li><li>Solid understanding of security standards, encryption, and data protection.</li><li>Experience guiding technical teams and overseeing solution implementation.</li><li>Excellent communication and client-facing skills.</li><li>Strong command of English, both written and spoken.</li></ul><p></p><p><b>
Preferred Skills:</b></p><ul><li>Familiarity with AI integration, data pipelines, and emerging digital technologies.</li><li>Strategic thinking and problem-solving abilities.</li><li>Ability to balance technical innovation with practical business requirements.</li><li>Knowledge of DevOps practices, APIs, and microservices architecture.</li></ul><p></p><p><b>
Behavioral Competencies
</b></p><ul><li>Adaptability
</li><li>Problem Solving
</li><li>Initiative
</li><li>Team Oriented
</li><li>Ability to work under pressure
</li></ul><p></p><p><b>Technical Competencies</b></p><ul><li>Solution &amp; Application Architecture (including microservices and APIs)</li><li>Cloud &amp; On-Prem Infrastructure (AWS, Azure, GCP)</li><li>Security &amp; Data Protection (encryption, compliance)</li><li>Emerging Technologies &amp; Digital Innovation (AI integration, data pipelines)</li></ul></div><p></p>

Azure Solutions Architect - 3-Month Contract

Entiovi Technologies Private Limited

<p><b>Introduction:</b></p><p>We at Entiovi Technologies provide digital transformation using new-age intelligent technologies for more than 8 years. We have clients located primarily in the US and Europe that are served by our Dedicated teams. This job is part of our expansion in India.</p><p><b>Location: Kolkata (On-site only)</b></p><p>We are looking for an experienced professional to join our team:</p><p><b>Responsibilities </b></p><ul><li>Work closely with clients to understand business requirement and convert them into well-defined data science problems.</li><li>Design and architect end-to-end data science and AI/ML solutions, from data pipeline creation to data engineering to data science to deployment.</li><li>Apply strong foundations in statistics, mathematics, and machine learning to build enterprise solutions.</li><li>Lead, mentor, and review the work of junior data scientists</li><li>Guide model selection, feature engineering, evaluation, and optimization</li><li>Collaborate with technical and functional teams to ensure solutions are production-ready</li><li>Communicate clearly to both technical and non-technical stakeholders</li></ul><p><b>Required Skills and Experience </b></p><ul><li>Strong expertise in AI/ML, statistics, and applied mathematics</li><li>Proven ability to solve complex, real-world problems using data</li><li>Experience designing data science architectures and analytical pipelines</li><li>Hands-on experience with Python and common ML/data science frameworks</li><li>Strong analytical thinking and structured problem-solving skills</li><li>Prior experience leading or mentoring data science teams</li></ul><p><b>What We Expect?</b></p><ul><li>Clarity of thought and the ability to simplify complex problems</li><li>Ownership and accountability for deliverables</li><li>A collaborative mindset and strong communication skills</li><li>A strong team-building ability</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: Up to ₹800,000.00 per year</p><p>Benefits:</p><ul><li>Flexible schedule</li><li>Health insurance</li><li>Provident Fund</li></ul><p>Application Question(s):</p><ul><li>What is your Current CTC?</li><li>What is your Expected CTC?</li><li>What is the Notice Period in your current organization?</li></ul><p>Education:</p><ul><li>Master's (Preferred)</li></ul><p>Experience:</p><ul><li> AI/ML: 4 years (Required)</li><li>statistics: 4 years (Required)</li><li>Applied Mathematics : 4 years (Required)</li><li>Python: 5 years (Required)</li><li>Azure Databricks: 5 years (Required)</li></ul><p>Work Location: In person</p>

Senior Data Scientist

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