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data scientist sr data scientist data science aa i

Definitive Healthcare

<div>
 Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what&rsquo;s now to what&rsquo;s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we&rsquo;d love to hear from you.
 
 
 
 Role
 
 : Data Scientist / Senior Data Scientist
 
 
 
 Reports to
 
 : Associate Principal / Principal
 
 
 
 Profession
 
 : Data Science
 
 
 
 Office Location
 
 : Bangalore
 
 
 
 Job Description
 
 
 
 This position requires strong coding skills and experience in data handling and wrangling using Python. The candidate will work hands-on with projects in areas such as advanced analytics, generating reports and metrics from large, complex datasets, and solution workbenches. The role involves using a wide range of quantitative and analytical techniques to support clients in improving their business decisions.
 
 
 Additionally, the candidate will be involved in sales and marketing projects, including multi-channel marketing effectiveness, campaign performance analysis, marketing mix modeling, attribution, conversion rate optimization, segmentation, response modeling, and designing experiments (test/control analysis).
 
 
 The ideal candidate should have the ability to understand business contexts and apply relevant statistical and AI/ML tools and techniques to assigned projects. They should also have a keen aptitude for deriving insights from data, a willingness to learn data-handling tools and methods, and an openness to working within the healthcare domain. Familiarity with, or the ability to quickly learn, quantitative and analytical techniques to aid client decision-making is essential.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Expertise in custom projects focused on prescription and claims-based reporting and modeling using
 </li>
 <li>
 Partner with the Product and Customer Success teams to deliver informed analyses to customers.
 </li>
 <li>
 Create deliverables to assist with customer engagements.
 </li>
 <li>
 Collaborate with fellow team members to implement optimized solutions.
 </li>
 <li>
 Contribute to internal projects and processes.
 </li>
 <li>
 Collaborate with global team to create deliverables.
 </li>
 <li>
 Mentor junior analysts and help drive best practices.
 </li>
 <li>
 Independently scope client requests
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Data Experts with approximately 2 - 5 years of experience specializing in Python
 </li>
 <li>
 Educational background in Engineering, Operations Research, Econometrics and/or Statistics
 </li>
 <li>
 Hands-on experience with Python is mandatory.
 </li>
 <li>
 Must possess good interpersonal skills along with excellent presentation and communication skills.
 </li>
 <li>
 Proficient in Microsoft Excel and SQL.
 </li>
 <li>
 Ability to work with large data, think out of the box, assess current processes and offer ideas for improvement.
 </li>
 <li>
 Knowledge of Pharma datasets is good to have.
 
 
 </li>
 </ul>
 
 ISMS Responsibilities
 
 
 
 <ul>
 <li>
 Comply with information security policies and processes
 </li>
 <li>
 Report security weaknesses, events or potential events, or other security risks, to the organization
 </li>
 <li>
 Execute all tasks related to information security management system as appropriate
 
 
 </li>
 </ul>
 
 Why we love Analytical Wizards, and why you will too!
 
 
 
 <ul>
 <li>
 Industry leading products
 </li>
 <li>
 Work hard, and have fun doing it
 </li>
 <li>
 Incredibly fast growth means limitless opportunity
 </li>
 <li>
 Flexible and dynamic culture
 </li>
 <li>
 Work alongside some of the most talented and dedicated teammates
 </li>
 <li>
 A collaborative and friendly culture with very high employee engagement
 
 
 </li>
 </ul>
 
 About Company
 
 
 
 <ul>
 <li>
 Company Name: AnalyticalWizards Services Pvt. Ltd.
 </li>
 <li>
 Profile: A leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. We are headquartered in New Jersey and have a software development and delivery center in Bangalore. Our work is mainly focused on Healthcare Industry. We develop core data science products that help our clients draw unique insights from their big data and achieve their business goals. We use advanced algorithms in the space of artificial intelligence and machine learning. Our technology-based software products are being used by the top pharma and biotechnology companies of the world. We have been recognized twice as one of fastest growing private companies of USA.
 </li>
 <li>
 Work Culture: Employee-friendly, collaborative, innovative, fast-paced, and conducive to learning
 </li>
 <li>
 Company Address: AnalyticalWizards Services Private Limited, Fortune Summit Business Park, Ground Floor, Hosur Road, Sector 6, HSR Layout, Roopena Agrahara, Bangalore - 560068
 </li>
 <li>
 Industry: Software Development and Data Science
 </li>
 </ul>
</div>

Data Scientist/Sr. Data Scientist-Data Science-AA&I

Valiance Solutions

<div>
 
 
 About Us:
 
 
 
 At Valiance, we empower businesses with AI-driven insights and data analytics solutions. Specializing in demand forecasting within retail Industry very specific to
 
 Apparel and Footwear
 
 domains, we leverage standardized ML models to deliver accurate forecasting outcomes to our clients. We are looking for a skilled Data Scientist who can interpret and improve these models to drive real-world business results.
 
 
 
 
 
 
 Role Overview:
 
 
 
 The Data Scientist will be responsible for applying our pre-trained demand forecasting models to generate actionable insights and highly accurate forecasting outcomes. This role involves thorough data analysis, identifying trends and anomalies, interpreting results, and communicating findings effectively to a non-technical business audience. The ideal candidate is less focused on creating algorithms and more oriented towards solving business challenges and providing insights that make a tangible impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Data Analysis:
 
 Conduct in-depth data analysis to identify trends, patterns, and anomalies in demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
 </li>
 <li>
 
 Model Utilization:
 
 Leverage existing pre-trained forecasting models, optimizing their performance by incorporating a nuanced understanding of data points and improving model outcomes based on data insights.
 </li>
 <li>
 
 Interpretation &amp; Communication:
 
 Interpret model results and explain outcomes in simple, actionable terms for business stakeholders, ensuring clarity and relevance.
 </li>
 <li>
 
 Insights Generation:
 
 Develop insights that guide business decisions, aiming for highly accurate forecasting outcomes to meet business requirements.
 </li>
 <li>
 
 Collaboration:
 
 Work closely with cross-functional teams, including business stakeholders and analysts, to ensure forecasting outputs align with business objectives and provide real-world value.
 </li>
 <li>
 
 Continuous Improvement:
 
 Identify opportunities to improve model performance through better data usage and fine-tuning, rather than new model development.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 
 Experience:
 
 
 3-6 years of experience
 
 in data science or a related field, specifically in
 
 Demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
 
 </li>
 <li>
 
 Technical Proficiency:
 
 Strong skills in data analysis, data visualization, and working with pre-trained ML models. Proficiency in Python, and SQL is preferred.
 </li>
 <li>
 
 Business Focus:
 
 Strong orientation towards solving business problems rather than a pure focus on machine learning algorithms.
 </li>
 <li>
 
 Communication Skills:
 
 Ability to clearly communicate insights and forecast results to non-technical stakeholders in simple, understandable language.
 </li>
 <li>
 
 Problem Solving:
 
 Demonstrated ability to interpret data, uncover actionable insights, and suggest practical solutions for business needs.
 </li>
 <li>
 
 Detail-Oriented:
 
 Thorough attention to detail, ensuring accuracy in forecasting and relevance of insights.
 </li>
 <li>
 
 Educational Background:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field.
 </li>
 </ul>
 
 
</div>

Data Scientist

Version 1

<div>
 
 Company Description
 
 
 
 Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We&rsquo;re also an award-winning employer reflecting how employees are at the heart of Version 1.
 
 
 We&rsquo;ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023.
 
 
 As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We&rsquo;re focused on our core values; using these we&rsquo;ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.
 
 
 
 Job Description
 
 
 
 This is an exciting opportunity for a Data Scientist to deliver high-value analytics solutions for the Version 1 AI Labs. This provides a unique opportunity for people who are passionate about technology and have a deep commitment to code quality and best practices to build something special and make a real difference to our business and to our customer&rsquo;s business.
 
 
 You will have strong experience in building solutions using a variety of open-source tools and exposure to Python, Spark, NLP, Transformers and a proven track record in delivering high-quality work to tight deadlines.
 
 
 The successful candidate will work on a wide range of projects across both traditional AI techniques (e.g. machine learning, predictive modelling, and NLP) and the latest advances in multimodal large language models, including those for image, video, and text generation or understanding.
 
 
 The role will require a data scientist with excellent communication skills, that is willing to continuously learn and listen. Creative problem solving and a keen understanding of how predictive analytics can be leveraged in business processes are a must. We&rsquo;re looking for a data scientist that is inherently curious, driven, willing to learn &amp; develop, with an owning the problem and self-starter attitude.
 
 
 
 Qualifications
 
 
 
 
 Essential:
 
 
 
 <ul>
 <li>
 Excellent communication skills, including written and oral English language skills
 </li>
 <li>
 Minimum 3+ years of experience in a Data Scientist role
 </li>
 <li>
 Graduate degree in Data Science, Statistics, or another quantitative field.
 </li>
 <li>
 Solid understanding of Spark
 </li>
 <li>
 Strong foundation in statistics
 </li>
 <li>
 Solid understanding of metrics and their usage.
 </li>
 <li>
 Expert programming skills in Python and SQL and with relevant Data Science &amp; ML frameworks (Scikit-learn, Pandas, PyTorch, etc)
 </li>
 <li>
 Deep understanding of statistical and ML algorithms, methodologies and approaches, and with deep learning &amp; LLMs (Gen AI).
 </li>
 <li>
 Experience with working with either Azure/AWS Cloud Environments.
 </li>
 <li>
 Python conventions, writing clean code and testing functionality
 </li>
 <li>
 Ability to work to own initiative and without heavy oversight
 </li>
 <li>
 Must show evidence of your passion for technology and continuous learning
 
 
 </li>
 </ul>
 
 Desirable
 
 
 
 <ul>
 <li>
 Familiarity with Huggingface
 </li>
 <li>
 Familiarity with Databricks
 </li>
 <li>
 Familiarity finetuning LLM.
 </li>
 <li>
 Experience working with Azure OpenAI, AWS Bedrock.
 </li>
 <li>
 Experience working with offshore team Consultancy experience
 
 
 </li>
 </ul>
 If you are up to the challenge, tick most of the boxes above and looking to own technical oversight of a highly motivated and driven team, then get in touch - we&rsquo;d love to speak with you!
 
 
 
 Additional Information
 
 
 
 At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability.
 
 
 One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.
 
 
 We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat.
 
 
 Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.
</div>

AB InBev GCC India

<div>
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 Do You Dream Big?
 
 
 We Need You.
 
 
 
 
 
 
 Job Description
 
 
 
 
 Job Title: Data Scientist &ndash; Predictive Forecasting
 
 
 
 
 Location: Bangalore
 
 
 
 
 Reporting to: Senior Manager Analytics
 
 
 
 
 
 
 
 
 1) Purpose of the role
 
 
 
 We are seeking a talented
 
 Data Scientist
 
 specializing in
 
 Statistical modelling, Predictive modelling, Time Series Forecasting
 
 to join our dynamic analytics team. The ideal candidate will have a strong background in statistical modeling and machine learning, with a focus on time series analysis. You will be responsible for developing predictive models for Business Cycles and Monthly Performance Monitoring, generating actionable insights from Forecasts, and driving business value through data-driven decision-making.
 
 
 
 
 
 
 2)
 
 
 Key tasks &amp; accountabilities
 
 
 
 
 
 <ul>
 <li>
 
 Develop and Implement Models:
 
 </li>
 <li>
 Design and implement and Maintain time series forecasting models to predict key business metrics.
 </li>
 <li>
 Utilize advanced statistical techniques and machine learning algorithms to improve model accuracy.
 </li>
 <li>
 
 Data Analysis and Insight Generation:
 
 </li>
 <li>
 Analyze large and complex datasets to identify trends, patterns, and anomalies.
 </li>
 <li>
 Generate actionable insights that inform business strategies and operational improvements.
 </li>
 <li>
 
 Collaborate with Cross-Functional Teams:
 
 </li>
 <li>
 Work closely with deployment and development data scientists, and other stakeholders to understand business needs.
 </li>
 <li>
 
 Communicate Findings:
 
 </li>
 <li>
 Present analysis results and insights to stakeholders in a clear and concise manner.
 </li>
 <li>
 Prepare reports, visualizations, and dashboards to communicate data findings.
 </li>
 <li>
 
 Continuous Improvement:
 
 </li>
 <li>
 Monitor model performance and implement enhancements as necessary.
 </li>
 <li>
 Stay updated with the latest developments in data science, machine learning, and time series forecasting.
 </li>
 </ul>
 
 
 
 
 
 3) Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required.
 
 
 
 Bachelor&rsquo;s or master&rsquo;s degree in data science, Statistics, Mathematics, Computer Science, or a related field.
 
 
 
 
 
 
 Previous work experience
 
 
 <ul>
 <li>
 Minimum of 2 years of experience in data science or a related role.
 </li>
 <li>
 Proven experience with time series analysis and forecasting techniques is a plus
 </li>
 </ul>
 
 
 
 
 
 Technical Skills required
 
 
 
 
 
 <ul>
 <li>
 Python (Data Structures, Control Flow, OOPs, Modules and Packages, Exception Handling, VENV)
 </li>
 <li>
 MLOPs Fundamentals (Model Development, VCS, CI, CD, Serving, Monitoring &amp; Logging, Registry, Data and Model Lineage)
 </li>
 <li>
 Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow is a plus).
 </li>
 <li>
 Familiarity with data visualization tools (e.g., Power BI, matplotlib, plotly, streamlet).
 </li>
 <li>
 Data Analysis Tools - Pandas, Excel (Pivot Tables, Charts, Macros, Conditional Formatting, Shortcuts)
 </li>
 <li>
 Insights presentation - PowerPoint
 </li>
 <li>
 Version Control System (Git) - Basic Commands, Branching and Merging, Pull Requests &amp; Code Reviews
 </li>
 </ul>
 
 
 
 
 
 Other Skills required
 
 
 
 
 
 <ul>
 <li>
 Excellent problem-solving and analytical skills.
 </li>
 <li>
 Strong communication and presentation abilities.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 
 
 
 We dream big to create future with more cheers.
 
 
 
 
</div>

<div>
 
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Job Title: Senior Data Scientist
 
 
 
 
 
 
 
 Location: Bangalore
 
 
 
 
 
 
 
 Reporting to: Senior Manager Analytics
 
 
 
 
 
 
 
 
 1) Purpose of the role
 
 
 
 
 
 
 We are looking for an experienced and strategic
 
 Senior Data Scientist
 
 to join our high-impact analytics team in the FMCG sector. In this role, you will lead the development of
 
 Resource Allocation Model
 
 that directly influences how we allocate marketing budgets, drive consumer demand, and enhance retail performance.
 
 
 This is a hands-on technical role requiring deep expertise in data science, machine learning, and business acumen to solve complex problems in a fast-paced, consumer-centric environment.
 
 
 
 
 
 
 2) Key tasks &amp; accountabilities
 
 
 
 
 
 <ul>
 <li>
 Develop, validate, and scale
 
 Resource Allocation Model
 
 to quantify the impact of Sales &amp; Marketing packages on sales and brand performance.
 </li>
 <li>
 Implement
 
 optimization algorithms
 
 to inform budget allocation and maximize marketing ROI across geographies and product portfolios.
 </li>
 <li>
 Lead the development of predictive and prescriptive models to support commercial, trade, and brand teams.
 </li>
 <li>
 Leverage
 
 PySpark
 
 to manage and transform large-scale retail, media, and consumer datasets.
 </li>
 <li>
 Build and deploy ML models using
 
 Python
 
 and
 
 TensorFlow
 
 , ensuring robust model performance and business relevance.
 </li>
 <li>
 Collaborate with marketing, category, and commercial stakeholders to embed insights into strategic decisions.
 </li>
 <li>
 Use
 
 GitHub Actions
 
 for version control,
 
 CI/CD workflows
 
 ,
 
 DVC for data versioning
 
 , and reproducible ML pipelines.
 </li>
 <li>
 Present findings through compelling data storytelling and dashboards for senior leadership.
 </li>
 <li>
 Mentor junior data scientists and contribute to a culture of innovation and excellence.
 </li>
 </ul>
 
 
 
 
 
 3) Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
 </li>
 </ul>
 
 
 
 
 
 Previous work experience
 
 
 <ul>
 <li>
 
 5+ years
 
 of hands-on experience in data science, preferably within the
 
 FMCG
 
 or retail domain.
 </li>
 </ul>
 
 
 
 
 
 Skills required
 
 
 <ul>
 <li>
 Proven track record of building and deploying
 
 Marketing Mix Models
 
 and/or media attribution models.
 </li>
 <li>
 Deep knowledge of
 
 optimization techniques
 
 (e.g., linear programming, genetic algorithms, constrained optimization).
 </li>
 <li>
 Advanced programming skills in
 
 Python
 
 (pandas, scikit-learn, statsmodels, TensorFlow).
 </li>
 <li>
 Expertise in
 
 PySpark
 
 for distributed data processing and transformation.
 </li>
 <li>
 Experience with
 
 Git
 
 and
 
 GitHub Actions
 
 for collaborative development and CI/CD pipelines.
 </li>
 <li>
 Strong grounding in statistics, experimental design (A/B testing), and causal inference.
 </li>
 <li>
 Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills required
 
 
 <ul>
 <li>
 Experience working with syndicated retail data (e.g., Nielsen, IRI) and media data (e.g., Meta, Google Ads).
 </li>
 <li>
 Exposure to cloud platforms like
 
 AWS
 
 ,
 
 GCP
 
 , or
 
 Azure
 
 .
 </li>
 <li>
 Familiarity with
 
 FMCG metrics
 
 (e.g., brand health, share of shelf, volume uplift, promotional ROI).
 </li>
 <li>
 Ability to translate complex models into business actions in cross-functional environments.
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 We dream big to create future with more cheers
 
 
</div>

Senior Data Scientist

Tiger Analytics

<div>
 
 
 Job Title: Data Scientist/Lead Data Scientist
 
 
 
 
 Locations: Chennai | Hyderabad | Bangalore
 
 
 
 
 NP : Immediate Joiner - 15 Days
 
 
 
 
 Skills :
 
 Python , Data Science , ML Model building, GCP, Azure, AWS
 
 
 
 
 
 
 
 
 
 Who we are
 
 
 
 Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
 
 
 Our team of 6000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
 
 
 We are a Great Place to Work-Certified&trade; (2022-24), recognized by analyst firms such as Forrester,
 
 
 Gartner, HFS, Everest, ISG and others. We have been ranked among the &lsquo;Best&rsquo; and &lsquo;Fastest Growing&rsquo;
 
 
 analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.
 
 
 
 
 
 
 Curious about the role? What your typical day would look like?
 
 
 
 As a Data Scientist/Senior/Lead Data Scientist, you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. You will lead and contribute to projects involving the development, deployment, and monitoring of ML/AI models in GCP environment across industries. The role demands a balanced mix of technical expertise, stakeholder management, and leadership.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
  Lead and contribute to developing sophisticated machine learning models, predictive analytics, and
 
 
 statistical analyses to solve complex business problems.
 
 
  Demonstrate proficiency in programming languages such as Python, with the ability to write clean,
 
 
 efficient, and maintainable code.
 
 
  Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets,
 
 
 and derive actionable insights that lead to impactful outcomes.
 
 
  Take ownership of end-to-end model development&mdash;from problem definition and data exploration
 
 
 to model training, validation, deployment, and monitoring&mdash;delivering scalable solutions in real-
 
 
 world settings.
 
 
  Work closely with clients to understand their business objectives, identify opportunities for
 
 
 analytics-driven solutions, and communicate findings clearly and promptly.
 
 
  Collaborate with cross-functional teams, including data engineers, software developers, and
 
 
 business stakeholders, to integrate machine learning solutions into business processes, with an
 
 
 emphasis on production-grade deployment.
 
 
  Implement and scale AI/ML models on Google Cloud Platform using tools like Vertex AI
 
 
 Workbench, Vertex AI Pipelines (Kubeflow), and BigQuery to accelerate development and
 
 
 streamline production deployment.
 
 
  Deploy, serve, and manage high-performance models using Vertex AI Endpoints, Cloud Run, and
 
 
 Cloud Composer, ensuring resilience and observability via Vertex Model Monitoring, Cloud
 
 
 Monitoring, and Logging.
 
 
 
 
 
 
 What do we expect?
 
 
 
 ● 4&ndash;10 year&rsquo;s experience in data science and ML model development
 
 
 ● A passion for writing high-quality, modular, and scalable code (Python), with hands-on involvement across end-to-end project execution.
 
 
 ● Solid understanding of regression, classification, and statistical methods
 
 
 ● Proven experience deploying machine learning models in production using Google Cloud Vertex AI (Training Jobs, Custom Training, Model Registry, Scoring Jobs, Experiment Tracking using
 
 
 TensorBoard)
 
 
 ● Experience in orchestrating ML pipelines using Vertex AI Pipelines (Kubeflow) and/or Cloud
 
 
 Composer (Apache Airflow)
 
 
 ● Hands-on exposure to GCP services like Vertex AI SDK, Cloud Storage, Cloud Run, and CI/CD
 
 
 pipelines (GitHub Actions, Cloud Build)
 
 
 ● Experience with monitoring and maintaining ML models in production, using Vertex AI Model
 
 
 Monitoring and related GCP tools
 
 
 
 
 
 
 Good to Have
 
 
 
 ● Experience with Generative AI tools like Vertex RAG Engine, Agent Builder, Dialogflow CX, and
 
 
 Google Agent Development Kit (ADK)
 
 
 ● Familiarity with API management (Apigee), VPC networking, load balancers, and GCP SDKs such
 
 
 as Discovery Engine SDK, Reasoning Engine SDK, and GKE
 
 
 
 
 
 
 You are important to us, let&rsquo;s stay connected!
 
 
 
 
 
 
 Every individual comes with a different set of skills and qualities so even if you don&rsquo;t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
 
 
 
 
 
 
 Note:
 
 The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
 
 
 Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities.
 
 
 
</div>

Explore 548+ Data scientist sr data scientist data science aa i in Mangaluru this October. Find roles across top companies and apply now to boost your career.

548 data scientist sr data scientist data science aa i jobs IN Mangaluru

Data Scientist/Sr. Data Scientist-Data Science-AA&I

Data Scientist/Sr. Data Scientist-Data Science-AA&I

Data Scientist

Data Scientist

Data Scientist

Senior Data Scientist

Data Scientist