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advanced data scientist [t500-21272] Jobs in Test Jobs In Test Jobs In Test Jobs In Mangaluru

advanced data scientist [t500-21272]

advanced data scientist t500 21272

Albertsons Companies India

<div>
 
 
 About Albertsons Companies Inc. :
 
 
 
 As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.
 
 
 We build and shape technology solutions that solve customers&rsquo; problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.
 
 
 Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.
 
 
 
 
 
 
 About Albertsons Companies India:
 
 
 
 At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company&rsquo;s technology journey to support millions of customers&rsquo; lives every day.
 
 
 At the Albertsons Companies India, we are raising the bar to grow across Technology &amp; Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.
 
 
 
 
 
 
 Position Title: Advanced Data Scientist
 
 
 
 
 Job Description:
 
 
 
 
 Roles &amp; responsibilities:
 
 
 <ul>
 <li>
 Collaborate with business and product stakeholders and build production grade models and machine learning algorithms on large-scale datasets
 </li>
 <li>
 Enhance and apply end-to-end demand forecasting models to support various business decision making
 </li>
 <li>
 Optimize inventory policies to reduce supply chain waste and opportunity cost related to holding excess inventory by maximizing the productivity of inventory
 </li>
 <li>
 Identify key drivers for out of stocks and address them using Machine Learning and Mathematical Optimization techniques to maximize in stock conditions at stores to provide the best customer experience
 </li>
 <li>
 Apply machine learning and mathematical optimization to increase productivity in ecommerce fulfillment operations and deliver the most optimum user experience on ecommerce website and loyalty mobile app
 </li>
 <li>
 Apply predictive modeling techniques and survival models to forecast various demands for operations and to deploy real time learning algorithms to optimize the forecasts
 </li>
 <li>
 Build models and algorithms to fuel growth initiatives for In Stock, Omni Channel, Digital and Merchandising
 </li>
 <li>
 Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence
 </li>
 <li>
 Convey machine learning solutions with intuitive visualizations and effective communications
 </li>
 <li>
 Scale up prototypes and implement reliable automated production workflow for models
 </li>
 <li>
 Collaborate with software development engineers to integrate models
 </li>
 </ul>
 
 
 
 
 
 Experience Required:
 
 
 <ul>
 <li>
 Bachelors or master's or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related mathematically intensive fields such as Experimental Physics or Chemical Engineering
 </li>
 <li>
 3+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc.
 </li>
 <li>
 Experience with any of the following business analytics practices is preferred:
 </li>
 <li>
 Supply chain analytics, including inventory optimization
 </li>
 <li>
 Time series forecasting for large-scale demand forecasting
 </li>
 <li>
 Ecommerce fulfillment operations, pick path optimization
 </li>
 <li>
 3+ years of experience and proficiency in SQL, Python and/or Spark-ML
 </li>
 <li>
 3+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data.
 </li>
 <li>
 2+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Databricks, Spark, Hadoop
 </li>
 <li>
 Ability to write production-level code in Python
 </li>
 <li>
 Experience with Snowflake, Azure Databricks is a strong plus
 </li>
 <li>
 Building Recommendation/ personalization systems or foundational systems on apps &amp; websites.
 </li>
 </ul>
 
 
 
 
 
 Skills Required:
 
 
 <ul>
 <li>
 Statistical and Experimental Modeling (regression modeling, survival modeling, experimental design multivariate/A-B testing)
 </li>
 <li>
 ML and AI (deep learning algorithms, NLP, nonparametric Bayesian modeling, ensemble modeling, recommendation algorithms, clustering)
 </li>
 <li>
 Mathematical and Applied Optimization (operations research, linear optimization, non-linear optimization, numerical search)
 </li>
 <li>
 SQL, Python
 </li>
 </ul>
 
 
 
 
 
 Skills Preferred:
 
 
 <ul>
 <li>
 Big Data and Tools (Spark-ML, Snowflake, Spark, Hadoop, Big Query)
 </li>
 <li>
 Production-level Python coding
 </li>
 <li>
 Data Engineering
 </li>
 <li>
 AI Methodologies (GenAI, Agentic AI)
 </li>
 </ul>
</div>

Advanced Data Scientist [T500-21272]

Hypersonix Inc.

<div>
 Hypersonix.ai is disrupting the e-commerce space with AI, ML and advanced decision capabilities to drive real-time business insights. Hypersonix.ai has been built ground up with new age technology to simplify the consumption of data for our customers in various industry verticals. Hypersonix.ai is seeking a well-rounded, hands-on product leader to help lead product management of key capabilities and features.
 
 
 We are looking for talented and driven Data Engineers at various levels to work with customers to build the data warehouse, analytical dashboards and ML capabilities as per customer needs.
 
 
 
 Roles and Responsibilities:
 
 
 
 <ul>
 <li>
 Create and maintain optimal data pipeline architecture,
 </li>
 <li>
 Assemble large, complex data sets that meet functional / non-functional business requirements, should write complex queries in optimized way
 </li>
 <li>
 Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
 </li>
 <li>
 Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS &lsquo;big data&rsquo; technologies.
 </li>
 <li>
 Run ad-hoc analysis utilizing the data pipeline to provide actionable insights
 </li>
 <li>
 Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
 </li>
 <li>
 Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
 </li>
 <li>
 Work with analytics and data scientist team members and assist them in building and optimizing our product into an innovative industry leader
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 4 Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
 </li>
 <li>
 Experience building and optimizing &lsquo;big data&rsquo; data pipelines, architectures and data sets.
 </li>
 <li>
 Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
 </li>
 <li>
 Strong analytic skills related to working with unstructured datasets.
 </li>
 <li>
 Build processes supporting data transformation, data structures, metadata, dependency and workload management.
 </li>
 <li>
 A successful history of manipulating, processing and extracting value from large disconnected datasets.
 </li>
 <li>
 Working knowledge of message queuing, stream processing, and highly scalable &lsquo;big data&rsquo; data stores.
 </li>
 <li>
 Experience supporting and working with cross-functional teams in a dynamic environment.
 </li>
 <li>
 We are looking for a candidate with 8+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Information Technology or completed MCA.
 
 
 </li>
 </ul>
 Powered by JazzHR
 
 
 A0XZwDxlB2
</div>

Staff Data Engineer

<div>
 Hypersonix.ai is disrupting the e-commerce space with AI, ML and advanced decision capabilities to drive real-time business insights. Hypersonix.ai has been built ground up with new age technology to simplify the consumption of data for our customers in various industry verticals. Hypersonix.ai is seeking a well-rounded, hands-on product leader to help lead product management of key capabilities and features.
 
 
 We are looking for talented and driven Data Engineers at various levels to work with customers to build the data warehouse, analytical dashboards and ML capabilities as per customer needs.
 
 
 
 Roles and Responsibilities:
 
 
 
 <ul>
 <li>
 Create and maintain optimal data pipeline architecture,
 </li>
 <li>
 Assemble large, complex data sets that meet functional / non-functional business requirements, should write complex queries in optimized way
 </li>
 <li>
 Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
 </li>
 <li>
 Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS &lsquo;big data&rsquo; technologies.
 </li>
 <li>
 Run ad-hoc analysis utilizing the data pipeline to provide actionable insights
 </li>
 <li>
 Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
 </li>
 <li>
 Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
 </li>
 <li>
 Work with analytics and data scientist team members and assist them in building and optimizing our product into an innovative industry leader
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 4 Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
 </li>
 <li>
 Experience building and optimizing &lsquo;big data&rsquo; data pipelines, architectures and data sets.
 </li>
 <li>
 Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
 </li>
 <li>
 Strong analytic skills related to working with unstructured datasets.
 </li>
 <li>
 Build processes supporting data transformation, data structures, metadata, dependency and workload management.
 </li>
 <li>
 A successful history of manipulating, processing and extracting value from large disconnected datasets.
 </li>
 <li>
 Working knowledge of message queuing, stream processing, and highly scalable &lsquo;big data&rsquo; data stores.
 </li>
 <li>
 Experience supporting and working with cross-functional teams in a dynamic environment.
 </li>
 <li>
 We are looking for a candidate with 4+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Information Technology or completed MCA.
 
 
 </li>
 </ul>
 Powered by JazzHR
 
 
 Id88T9y1Du
</div>

Senior Data Engineer

Cisco

<div>
 
 Meet the Team
 
 
 
 The
 
 Product Operations &ndash; Business Intelligence (BI) team
 
 sits at the heart of the Supply Chain organization, where data meets real-world decision-making. We tackle some of the most complex operational challenges by combining advanced analytics, BI solutions, and cutting-edge AI/GenAI capabilities. Our mission is to transform data into action&mdash;driving deeper insights, increasing operational efficiency, and enabling smarter, faster decisions across the entire supply chain. We don&rsquo;t just report on the business; we help shape its future.
 
 
 
 Your Impact
 
 
 
 This role is ideal for someone who thrives on solving complex data problems, designing AI solutions, and contributing to large-scale transformation programs.
 
 
 
 As a Data Scientist, You Will
 
 
 
 <ul>
 <li>
 Partner with business units and supply chain stakeholders to understand their analytics needs and translate them into scalable AI solutions.
 </li>
 <li>
 Design, develop, and implement intuitive models and AI solutions
 </li>
 <li>
 Take the lead on supply chain transformation analytics&mdash;owning everything from doing POCs to production solution deployment.
 </li>
 <li>
 Collaborate with architects, business partners (GPOs, BU verticals), and IT to define use cases and design data-driven capabilities that deliver tangible business outcomes.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, AI/ML, or a related field.
 </li>
 <li>
 6+ years of experience in data science or applied machine learning roles, ideally within supply chain, operations, or manufacturing domains.
 </li>
 <li>
 Hands-on experience with: Large Language Models (LLMs),Transformer architectures and fine-tuning model to Domain specific needs.
 </li>
 <li>
 Generative AI models using frameworks such as Hugging Face, LangChain, Lang Smith, Lang graph or OpenAI APIs, Llama index
 </li>
 <li>
 Experience in building AI Agents and other advanced concepts such as Agent2Agent (A2A) Model context protocol (MCP) for sophisticated Gen AI solutions.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with software engineering skills, real-time analytics, ML model APIs, Rest API development or serverless architectures.
 </li>
 <li>
 Familiarity with data governance, privacy, and responsible AI practices.
 </li>
 <li>
 Prior work in supply chain analytics or operational data science.
 </li>
 <li>
 Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer) are a plus.
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
</div>

Data Scientist – Supply Chain

Meesho

<div>
 
 About The Team
 
 
 
 Our Data Science team is the Avengers to Meesho&rsquo;s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We&rsquo;ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat.
 
 
 Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation.
 
 
 As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.🔍 You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market.
 
 
 But wait &ndash; there&rsquo;s more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting &ldquo;Summer of 69&rdquo; at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ☺️
 
 
 
 About The Role
 
 
 
 Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist.
 
 
 In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Develop models and run experiments to infer insights from hard data
 </li>
 <li>
 Improve our product usability and identify new growth opportunities
 </li>
 <li>
 Understand reseller preferences to provide them with the most relevant products
 </li>
 <li>
 Designing discount programs to help our resellers sell more
 </li>
 <li>
 Help resellers better recognise end-customer preferences to improve their revenue
 </li>
 <li>
 Use data to identify bottlenecks that will help our suppliers meet their SLA requirements
 </li>
 <li>
 Model seasonal demand to predict key organisational metrics
 </li>
 <li>
 Mentor junior data scientists in the team
 
 
 
 </li>
 </ul>
 
 What You Will Need
 
 
 
 <ul>
 <li>
 Bachelor's/Master's degree in computer science (or similar degrees)
 </li>
 <li>
 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C
 </li>
 <li>
 Familiarity with Neural Networks, Machine Learning etc.
 </li>
 <li>
 Familiarity with tools like SQL, R, Python, etc.
 </li>
 <li>
 Strong understanding of Statistics and Linear Algebra
 </li>
 <li>
 Strong understanding of hypothesis/model testing and ability to identify common model testing errors
 </li>
 <li>
 Experience designing and running A/B tests and drawing insights from them
 </li>
 <li>
 Proficiency in machine learning algorithms
 </li>
 <li>
 Excellent analytical skills to fetch data from reliable sources to generate accurate insights
 </li>
 <li>
 Experience in tech and product teams is a plus
 
 
 
 </li>
 </ul>
 
 Bonus Points For
 
 
 
 <ul>
 <li>
 Experience in working on personalization or other ML problems
 </li>
 <li>
 Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift
 </li>
 </ul>
</div>

Data Scientist III

PhonePe

<div>
 
 
 Job Description:
 
 
 
 We are looking for an experienced Data Scientist with 6+ years of experience to join our team and drive impactful data-driven solutions. The ideal candidate will possess deep expertise in machine learning, statistical modeling, and big data processing, along with a proven ability to work with cross-functional teams and effectively communicate insights to stakeholders. This role requires a strategic mindset, strong leadership, and the ability to translate complex data problems into actionable business insights.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead and drive the development of advanced machine learning models to solve high-impact business challenges.
 </li>
 <li>
 Collaborate with stakeholders (business leaders, product managers, engineering teams) to identify opportunities where data science can add business value.
 </li>
 <li>
 Embed yourself with business to understand the strategy and propose data solutions to accelerate outcomes.
 </li>
 <li>
 Design and implement scalable data pipelines and real-time analytics solutions.
 </li>
 <li>
 Guide and mentor data scientists, fostering a culture of innovation and best practices.
 </li>
 <li>
 Conduct deep-dive analyses to extract meaningful insights from complex and large datasets.
 </li>
 <li>
 Ensure machine learning models are explainable, reproducible, and aligned with business objectives.
 </li>
 <li>
 Present findings and recommendations to key stakeholders in a clear and actionable manner.
 </li>
 <li>
 Work closely with engineering teams to deploy ML models into production environments at scale.
 </li>
 <li>
 Own end-to-end model lifecycle management, including data preprocessing, feature engineering, model training, validation, and monitoring.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 
 Bachelor's or Master&rsquo;s degree
 
 in Computer Science, Data Science, Statistics, Mathematics, or a related field (Ph.D. preferred but not mandatory).
 </li>
 <li>
 
 6+ years of experience
 
 in data science, machine learning, or applied statistics. Experience in
 
 financial services, fintech, e-commerce, or similar data-driven industries
 
 .
 </li>
 <li>
 Strong expertise in
 
 Python, SQL
 
 with proficiency in
 
 machine learning frameworks
 
 such as TensorFlow, PyTorch, or Scikit-Learn.
 </li>
 <li>
 Solid understanding of
 
 big data technologies
 
 (Spark, PySpark, Hadoop, or similar).
 </li>
 <li>
 Hands-on experience in
 
 model deployment
 
 using cloud platforms (AWS, GCP, Azure) and ML Ops frameworks (MLflow, Kubeflow, etc.).
 </li>
 <li>
 Expertise in
 
 statistical modeling, predictive analytics
 
 .
 </li>
 <li>
 Experience working with
 
 real-time and batch-processing systems
 
 .
 </li>
 <li>
 Demonstrated ability to
 
 translate business problems into data science solutions
 
 .
 </li>
 <li>
 Excellent problem-solving, critical-thinking, and analytical skills.
 </li>
 <li>
 
 Strong communication and stakeholder management skills
 
 , with the ability to explain technical concepts to non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience in
 
 financial services, fintech, e-commerce, or similar data-driven industries
 
 .
 </li>
 </ul>
</div>

Data Scientist

Data Scientist / ML Engineer

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