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data scientist/sr. data scientist-data science-aa&i Jobs in House Counsel Jobs In Mangaluru

data scientist/sr. data scientist-data science-aa&i

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

Visa

<div>
 
 
 Job Description
 
 
 
 
 What a Data Scientist , Visa Consulting &amp; Analytics does at Visa:
 
 
 
 
 
 
 The Data Scientist will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visa&rsquo;s Bangalore office.
 
 
 
 
 
 The individual will be accountable for supporting and driving the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.
 
 <ul>
 <li>
 Hands-on development of detailed project scopes and methodologies, as well as designing, and implementing solutions using appropriate tools and techniques.
 </li>
 <li>
 Own project outcomes by proactively identifying and mitigating risks, managing dependencies, and communicating status and timelines to meet delivery expectations.
 </li>
 <li>
 Ensuring quality control and maintaining up-to-date documentation for all data science projects.
 </li>
 <li>
 Monitoring client portfolio growth data, identifying spending trends, and pinpointing growth opportunities using non-traditional data and new modeling techniques.
 </li>
 <li>
 Translate analytical findings into clear, actionable business insights.
 </li>
 <li>
 Work closely with cross-functional teams (consultants, data science, data engineers) to ensure successful project delivery.
 </li>
 <li>
 Contribute to the development of internal frameworks, templates, and accelerators for data science consulting.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric.
 
 
 &bull; 5+ years&rsquo; experience plus a bachelor&rsquo;s degree in computer science, information science, mathematics, or similar/related streams. Graduate master&rsquo;s degree is a plus.
 
 
 &bull; Hands-on in delivering end-to-end data science projects, developing machine learning solutions, and scaling up data solutions. Demonstrated expertise in the core machine learning workflow, including data handling (cleaning, wrangling, feature engineering) and modeling with algorithms like Linear Regression, Decision Trees, and XGBoost.
 
 
 &bull; Experience in card payments and/or retail banking domain.
 
 
 &bull; Hands-on experience across the data analytics lifecycle: programming and querying (Python, SQL, Pyspark), big data platforms (Hadoop, Hive), and business intelligence/visualization (Tableau).
 
 
 &bull; Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.
 
 
 &bull; Proven ability to translate complex data into compelling narratives and impactful presentations using advanced Excel and PowerPoint.
 
 
 &bull; Familiar/Skilled in identifying and implementing GenAI solutions is desirable.
 
 
 &bull; Self-motivated, results oriented individual with ability to handle multiple projects concurrently.
 
</div>

Data Scientist

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>
 2-4 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 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 II

ClinicMind

<div>
 ClinicMind is a leading healthcare SaaS platform that helps providers improve their practice financial performance, drive sustainable growth, and enhance patient care with integrated EHR, RCM, and Patient Engagement automation and excellent service solutions. outcomes, and maximizes revenue cycle efficiency.
 
 
 
 Position Summary
 
 
 
 The Junior Data Scientist will support the Data Science team in analyzing data, creating visual insights, and maintaining scalable data workflows using Amazon QuickSight and Amazon Redshift. This role is ideal for an entry-level candidate passionate about analytics, cloud data tools, and supporting data-driven business decisions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Data Management &amp; Preparation
 </li>
 <li>
 Extract, clean, and manage datasets within Amazon Redshift and related AWS data sources.
 </li>
 <li>
 Ensure data quality, consistency, and completeness for downstream analytics.
 </li>
 <li>
 Visualization &amp; Reporting
 </li>
 <li>
 Build and maintain Amazon QuickSight dashboards to communicate trends, KPIs, and actionable insights.
 </li>
 <li>
 Automate recurring reporting workflows and enhance dashboard interactivity.
 </li>
 <li>
 Data Analysis &amp; Insights
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to uncover trends and patterns.
 </li>
 <li>
 Support business teams by generating ad-hoc analyses and presenting insights clearly.
 </li>
 <li>
 Collaboration &amp; Support
 </li>
 <li>
 Work closely with the Data Science Team Lead and cross-functional teams (Operations, Product, and Engineering).
 </li>
 <li>
 Participate in sprint reviews, data validation, and stakeholder discussions.
 </li>
 <li>
 Continuous Learning &amp; Innovation
 </li>
 <li>
 Stay up to date on AWS analytics services, BI tools, and data visualization best practices.
 </li>
 <li>
 Contribute new ideas for improving efficiency, visualization design, and automation.
 
 
 </li>
 </ul>
 
 Skills And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Analytics, or related field.
 </li>
 <li>
 Hands-on experience with Amazon QuickSight for dashboarding and reporting.
 </li>
 <li>
 Understanding of Amazon Redshift (queries, schemas, joins, and data pipelines).
 </li>
 <li>
 Knowledge of SQL for data extraction and transformation.
 </li>
 <li>
 Basic exposure to Python or R (optional but desirable).
 </li>
 <li>
 Strong analytical mindset and attention to detail.
 </li>
 <li>
 Good communication and presentation skills.
 
 
 </li>
 </ul>
 
 Preferred Certifications
 
 
 
 <ul>
 <li>
 AWS Certified Data Analytics
 </li>
 <li>
 Amazon QuickSight Author Certification
 </li>
 <li>
 AWS Cloud Practitioner or Practitioner Essentials
 
 
 </li>
 </ul>
 Must Have
 
 
 <ul>
 <li>
 Must have a stable internet connection minimum of 25 MBPS
 </li>
 <li>
 Must have a mobile data plan as a backup
 </li>
 <li>
 Must be in a quiet environment / work from home set-up
 </li>
 <li>
 Must be comfortable working the US Eastern Time business hours
 </li>
 <li>
 Minimum system requirement: Latest i5 with SSD hard disk (i7 preferred), 16 GB RAM (32 GB preferred)
 </li>
 </ul>
</div>

Junior Data Scientist - Work From Home

Intuit

<div>
 
 Overview
 
 
 
 Come join the Intuit Data Exchange (IDX) team as part of the Intuit as a Principal Scientist. We are looking for creative problem solvers with a passion for innovation to join our team and revolutionize the way the world does business. You will be deploying AI/GenAI solutions to simplify acquisition of data and documents from &lsquo;000s of providers WW while maintaining trust. The structured data acquired is used in workflows from Personal Finance, Taxes and running businesses, thus powering prosperity around the world. Your job includes the following:
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Drives architecture decisions, influences and contributes to ML platform architecture and strategy
 </li>
 <li>
 Creates a multi-year vision that connects product strategy with technology strategy
 </li>
 <li>
 Practices excellent leadership and communication skills to influence and lead teams and evangelize AI across the organization and the larger company
 </li>
 <li>
 Leads team&rsquo;s work in one or more of ML, NLP, Statistics, or Optimization, and performs hands-on work in these domains.
 </li>
 <li>
 Weighs ROI considerations of general and tailored capabilities for projects in the team
 </li>
 <li>
 Creates new capabilities and technology shifts that solve critical business problems
 </li>
 <li>
 Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends
 </li>
 <li>
 Influences business leaders and architects around the company to shape mission-critical projects
 </li>
 <li>
 Leads team and partners to the successful delivery and integration of ML solutions
 </li>
 <li>
 Conducts design reviews, and holds teams to technical and operational rigor.
 </li>
 <li>
 Acts as an advisor in overseeing and mentoring the work of colleagues toward the building of a vibrant practice community
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field or equivalent work experience
 </li>
 <li>
 Solid knowledge of statistical techniques
 </li>
 <li>
 3+ years as either a lead in a data science role or a management position in data science
 </li>
 <li>
 Strong communication skills and proven experience as an influencer at the executive level
 </li>
 <li>
 Hands-on programming experience in one or more of: ML, NLP, Statistics, or Optimization
 </li>
 <li>
 6+ years&rsquo; experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)
 </li>
 <li>
 6+ years&rsquo; experience with a general-purpose programming language (e.g. Python, Scala, etc.)
 
 
 </li>
 </ul>
 
 Strongly Preferred
 
 
 
 <ul>
 <li>
 PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
 </li>
 <li>
 Expert knowledge and hands-on experience in one or more of: ML, NLP, Statistics, or Optimization
 </li>
 <li>
 Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns
 </li>
 <li>
 Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
 </li>
 <li>
 Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code
 </li>
 <li>
 Proven track record of influencing business leaders to shape mission-critical projects
 </li>
 <li>
 Proven track record of leading teams to successful delivery of ML solutions
 </li>
 <li>
 Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel
 
 
 </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
</div>

Principal AI Scientist

MakeMyTrip

<div>
 Job Title: Director &mdash; Data Scientist
 
 
 Location: Bengaluru
 
 
 Experience: 14+ Years
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build end to end DS/AI/ML solutions.
 </li>
 <li>
 Own analyses, model training, deployment, business impact A/B evaluation, and subsequent iterations, for best-in-class data science models.
 </li>
 <li>
 Primary focus on dynamic pricing and discounting modules for various lines of business (flights, hotels, domestic, international, B2C meta) and potentially other products of both brands MakeMyTrip and GoIbibo.
 </li>
 <li>
 Work with stakeholders at various stages of the project, lead project development.
 </li>
 <li>
 Conduct iterative experiments, demonstrating incremental lift in business metrics due to AI/ML initiatives.
 </li>
 <li>
 Improve the system quality with best-in-class models and engineering tech.
 </li>
 <li>
 Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip, GoIbibo, and TripMoney FinTech.
 </li>
 <li>
 Build and own robust data science APIs meeting 99% SLA at very high RPS. Also, ensure training/inference MLOps rigour.
 </li>
 <li>
 Show business impact while having the opportunity to build best-in-class AI/ML models.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in CS, EE, Mathematics, Statistics, Engineering technical field, or equivalent practical experience.
 </li>
 <li>
 A minimum of 14-18 years of experience (minimum of 10 years with a Ph. D. ) in applied DS /AI/ ML.
 </li>
 <li>
 Production experience in AI/ML Modelling, Pricing, discounting, recommendation systems and personalization.
 </li>
 <li>
 Production experience in price elasticity modeling or causal uplift modeling with combinatorial optimization is a plus.
 </li>
 <li>
 Production experience in contextual bandits and off-policy reinforcement learning methods is big plus.
 </li>
 <li>
 Production experience in sequential/incremental learning systems is a plus.
 </li>
 <li>
 Preferably, has worked in e-commerce.
 </li>
 <li>
 Experience with applying machine learning techniques to big data systems (e. g., Spark or Spark SQL) with TB to PB scale datasets.
 </li>
 <li>
 If one has a Ph. D, it should be in a quantitative field with strong/relevant experience for the problems mentioned above.
 </li>
 <li>
 Keen aptitude to learn and experiment with AI/ML adoption across various use cases.
 </li>
 <li>
 Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.
 </li>
 </ul>
</div>

Director - Data Scientist

Explore 420+ Data scientist sr data scientist data science aa i in House Counsel Jobs In Mangaluru this December. Find roles across top companies and apply now to boost your career.

420 data scientist sr data scientist data science aa i jobs IN House Counsel 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 II

Junior Data Scientist - Work From Home

Principal AI Scientist

Director - Data Scientist