data analyst

data scientist

data analyst, legal analytics Jobs in Mangaluru

data analyst, legal analytics

senior associate

analyst, data & analytics Jobs in Mangaluru

analyst, data & analytics

data scientist sr associate

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

Syngene International Limited

<div>
 Date: 10 Oct 2025
 
 
 Location:
 
 
 Bangalore, KA, IN, 560099
 
 
 Division: Discovery Services
 
 
 
 Job Title: Invivo Pharmacology Scientist
 
 
 
 
 Job Location: Bangalore
 
 
 
 
 JOB PURPOSE (Briefly Describe The Objectives Of The Job)
 
 
 
 Responsible for executing the assigned in vivo efficacy studies in metabolic disorder therapeutic area.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Responsible to conduct assigned research projects including experiments with utilizing current concepts and recognized standard techniques.
 </li>
 <li>
 Responsible to set up the experimental designs, analysis of data and concluding from the progress.
 </li>
 <li>
 Record laboratory observations information in lab notebooks, database and document the experimental designs.
 </li>
 <li>
 Responsible for data analysis, perform calculations for the result of the experiment.
 </li>
 <li>
 Summarize the research and communicate result of research to the supervisor.
 
 
 </li>
 </ul>
 
 Educational Qualification
 
 
 
 <ul>
 <li>
 M.Pharm Pharmacology
 </li>
 <li>
 M.V.Sc Pharmacology / Pathology
 </li>
 <li>
 M.Sc Neuroscience / Biochemistry / Biotechnology
 
 
 </li>
 </ul>
 
 Work Experience
 
 
 
 0 - 6 years of Industrial experience
 
 
 
 Technical /Functional Skills
 
 
 
 <ul>
 <li>
 Hands-on experience in execution of CNS disease models which includes psychiatric disorders such as anxiety, depression, PTSD etc., and neurological conditions like Alzheimer&rsquo;s disease, Parkinson&rsquo;s disease, cerebral ischemia and epilepsy.
 </li>
 <li>
 Hands-on experience in animal behavioral observation, quantification of animal behavior, experience in stereotaxic surgery, microdialysis, cannulation techniques, immunohistochemistry and ELISA.
 </li>
 <li>
 Will work independently or in association with senior scientists and other associates in the design and execution of in-vivo efficacy experiments in the relevant therapeutic area.
 </li>
 <li>
 Experience in animals handling (rodents and non rodents) such as dosing by various routes, bleeding by various routes, injections by various routes and surgical modalities which includes cannulation etc&hellip;
 </li>
 <li>
 Associate to provide technical, analysis and reporting outcomes of research for projects in relevant therapeutic area.
 </li>
 <li>
 Organizational skills and the ability to work in a highly collaborative environment are required.
 
 
 </li>
 </ul>
 
 Behavioral/Managerial Skills
 
 
 
 <ul>
 <li>
 Good communication skills
 </li>
 <li>
 Excellent interpersonal skills.
 </li>
 <li>
 Good team player
 </li>
 <li>
 Strong documentation Skills.
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodation for qualified individuals with disabilities.
</div>

in vivo pharmacologist

Licious

<div>
 
 Data Scientist
 
 
 
 
 
 Licious is a fast-paced, innovative D2C brand revolutionizing the meat and seafood
 
 
 industry in India. We leverage cutting-edge technology, data science, and customer
 
 
 insights to deliver unmatched quality, convenience, and personalization. Join us to
 
 
 solve complex problems at scale and drive data-driven decision-making!
 
 
 
 
 
 Role Overview:
 
 
 We are seeking a Data Scientist with 5+ years of experience to build and deploy
 
 
 advanced ML models (LLMs, Recommendation Systems, Demand Forecasting) and
 
 
 generate actionable insights. You will collaborate with cross-functional teams (Product,
 
 
 Supply Chain, Marketing) to optimize customer experience, demand prediction, and
 
 
 business growth.
 
 
 
 
 
 Key Responsibilities:
 
 
 1. Machine Learning &amp; AI Solutions:
 
 
 ● Develop and deploy Large Language Models (LLMs) for customer support
 
 
 automation, personalized content generation, and sentiment analysis.
 
 
 ● Enhance Recommendation Systems (collaborative filtering, NLP-based,
 
 
 reinforcement learning) to drive engagement and conversions.
 
 
 ● Build scalable Demand Forecasting models (time series, causal inference) to
 
 
 optimize inventory and supply chain.
 
 
 2. Data-Driven Insights:
 
 
 ● Analyze customer behavior, transactional data, and market trends to uncover
 
 
 growth opportunities.
 
 
 ● Create dashboards and reports (using Tableau/Power BI) to communicate
 
 
 insights to stakeholders.
 
 
 3. Cross-Functional Collaboration:
 
 
 ● Partner with Engineering to productionize models (MLOps, APIs, A/B testing).
 
 
 ● Work with Marketing to design hyper-personalized campaigns using CLV, churn
 
 
 prediction, and segmentation.
 
 
 4. Innovation &amp; Scalability:
 
 
 ● Stay updated with advancements in GenAI, causal ML, and optimization
 
 
 techniques.
 
 
 ● Improve model performance through feature engineering, ensemble methods,
 
 
 and experimentation.
 
 
 
 
 
 Qualifications:
 
 
 ● Education: BTech/MTech/MS in Computer Science, Statistics, or related fields.
 
 
 ● Experience: 4+ years in Data Science, with hands-on expertise in:
 
 
 &cir; LLMs (GPT, BERT, fine-tuning, prompt engineering).
 
 
 &cir; Recommendation Systems (matrix factorization, neural CF, graph-based).
 
 
 &cir; Demand Forecasting (ARIMA, Prophet, LSTM, Bayesian methods).
 
 
 &cir; Python/R, SQL, PySpark, and ML frameworks (TensorFlow, PyTorch, scikit-
 
 
 learn).
 
 
 &cir; Cloud platforms (AWS/GCP) and MLOps tools (MLflow, Kubeflow).
 
 
 
</div>

Data Scientist 2

Moniepoint Group

<div>
 Moniepoint is Africa's all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria&rsquo;s largest merchant acquirer.
 
 
 
 Your Opportunity and Mission
 
 
 
 We are looking for talented and passionate Data Scientist to join the Growth team. Data science and optimization are key drivers for Moniepoint&rsquo;s business growth and the Data Scientist joining will have the opportunity to build and own the most important models starting from our attribution and Marketing Mix Models
 
 
 <ul>
 <li>
 Contribute the following areas: channel attribution modeling, mCAC per channel modeling, LTV prediction, Marketing Mix Modeling and multichannel attribution and testing
 </li>
 <li>
 Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency
 </li>
 <li>
 Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models
 </li>
 <li>
 Design experiments and interpret the results to draw detailed and actionable conclusions
 </li>
 <li>
 Work in cross-functional teams across disciplines such as product, engineering and business.
 
 
 </li>
 </ul>
 
 You Have...
 
 
 
 <ul>
 <li>
 +5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies. FMCG or Fintech preferred.
 </li>
 <li>
 Holds at least an MSc, and preferably a PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science or Mathematics
 </li>
 <li>
 Deep theoretical and applied knowledge in the following areas: statistical inference, bayesian statistics, causal inference, time series analysis and mathematical optimisation.
 </li>
 <li>
 Extensive experience at least in Multichannel Attribution Modeling and Marketing Mix Modeling
 </li>
 <li>
 Extensive experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, XGBoost, Jupyter/iPython notebooks and well-known modeling packages such as PyMC3
 </li>
 <li>
 Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes excellent data modeling and SQL skills, and familiarity with Cloud infrastructure.
 </li>
 <li>
 Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.)
 </li>
 <li>
 Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights
 </li>
 <li>
 Excellent spoken and written English
 
 
 </li>
 </ul>
 
 What Moniepoint Can Offer You
 
 
 
 <ul>
 <li>
 The opportunity to drive financial inclusion and shape the future of the African financial ecosystem
 </li>
 <li>
 The chance to work on innovative and impactful projects
 </li>
 <li>
 A dynamic, diverse, and collaborative environment where every team member&rsquo;s voice is recognized and valued
 </li>
 <li>
 Flexible work arrangements
 </li>
 <li>
 Continuous learning and career growth opportunities
 </li>
 <li>
 Competitive salary, individual performance bonuses, and firmwide performance bonus
 </li>
 <li>
 Company covered health insurance plans
 </li>
 <li>
 Pension plans
 
 
 </li>
 </ul>
 
 What To Expect In The Hiring Process
 
 
 
 <ul>
 <li>
 A preliminary phone call with one of our recruiters
 </li>
 <li>
 A general interview with the Senior Manager of Marketing Strategy
 </li>
 <li>
 A case study-based discussion with SVP of Marketing
 </li>
 <li>
 A behavioural interview with members of the Executive team
 
 
 </li>
 </ul>
 Moniepoint is an equal-opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.
</div>

Growth Data Scientist

Lowe's India

<div>
 
 About Lowe&rsquo;s
 
 
 
 Lowe&rsquo;s is a FORTUNE&reg; 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe&rsquo;s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe&rsquo;s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.
 
 
 Lowe&rsquo;s India, the Global Capability Center of Lowe&rsquo;s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe&rsquo;s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India
 
 
 
 About The Team
 
 
 
 Inventory Replenishment team is responsible for executing inventory replenishment processes, performing data analysis and generating business reporting to ensure inventory flows smoothly within the network while maintaining the business KPIs like In-Stock, Processing Speed, Operaional Efficiency, etc. as per business agreement.
 
 
 
 Job Summary
 
 
 
 al goals, specific technical skills required for managing a process.
 
 
 Inventory Associate Analyst role will be aligned to one Business Area and responsible for executing Inventory Management processes and contributes to the operational and strategic priorities to drive IR KPI improvements (In-stock% and TSPM%) which in turn drives improved sales and return on investment. This role requires to build good understanding of fulfillment systems and operational execution and also contributes to process improvement projects to support senior team members. Proactively participates and supports initiatives to manage key performance metrics, including root-cause analysis and solution recommendations to ensures order flow meets designated capacity constrains throughout the supply chain. Executes IR system and process exceptions exceptions such as no sourcing, failed load out of bounds, no cost, unit of measure, etc. by following SOPs and identifies improvement opportunities to become SME for the low complexity operational processes once attains steady state.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 Core Responsibilities:
 
 
 
 <ul>
 <li>
 Supports regular execution of inventory flow processes and operational reports to manage and maintain Inventory KPIs
 </li>
 <li>
 Executes Inventory Replenishment and Planning strategies to aid more value to business
 </li>
 <li>
 Executes and supports Inventory and Replenishment priorities like inventory troubleshooting and root cause analysis, purchase order management, trend analysis, key performance metrics monitoring to help manage inventory flows within capacity constraints
 </li>
 <li>
 Extract data, reporting and analysis to generate business insights
 </li>
 <li>
 Help and support Sr Analyst with data and information to complete assigned task
 
 
 </li>
 </ul>
 
 Years Of Experience
 
 
 
 1+ years of Inventory Management or Supply Chain operations experience required
 
 
 
 Education Qualification &amp; Certifications
 
 
 
 
 Required Minimum Qualifications
 
 
 
 List the education, certification, work experience and skills required to minimally qualify an individual for the job.
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Business, Supply Chain, Logistics, Industrial Engineering Or
 </li>
 <li>
 MBA or master&rsquo;s degree in Supply Chain preferred
 
 
 </li>
 </ul>
 
 Skill Set Required
 
 
 
 
 Primary Skills (must have)
 
 
 
 <ul>
 <li>
 Strong analytical skills
 </li>
 <li>
 Sense of urgency, critical thinking
 </li>
 <li>
 Understanding of retail distribution network
 </li>
 <li>
 Experience in Data mining and visualization tool such as SQL, MS Access, VBA and Excel
 </li>
 <li>
 Excellent writing and communication skills, including the ability to develop analytical documents for presentation to management
 
 
 </li>
 </ul>
 
 Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.
 
 
 
 Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.
</div>

IND_Associate Analyst - Inventory Management

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

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

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