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data analyst, legal analytics Jobs in Mangaluru India

data analyst, legal analytics

director - data scientist Jobs in Mangaluru India

director - data scientist

data scientist

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

LSEG

<div>
 The Markets Pricing team plays a critical role in supporting the Digital &amp; Securities Markets business by crafting and driving commercial strategies across the product lifecycle&mdash;including ideation, development, launch, and ongoing management. The team also owns the development of analytics to inform and improve these strategies.
 
 
 This role will work closely with senior business leaders and product development teams to design and implement a balanced and competitive commercial policy. It offers a direct opportunity to influence the commercial performance of the division.
 
 
 Reporting to the Senior Manager, Markets Pricing, the
 
 Data Scientist
 
 will be instrumental in building and maintaining a robust analytical framework passionate about commercial performance and pricing strategy.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Creating and evolving pricing structures in support of business and commercial objectives
 </li>
 <li>
 Analysing and assuring the competitiveness of existing pricing structures
 </li>
 <li>
 Providing information and analysis on clients&rsquo; behaviour
 </li>
 <li>
 Monitoring the impact of LSEG pricing initiatives on clients and market quality
 </li>
 <li>
 Analysing competitors&rsquo; pricing initiatives
 </li>
 <li>
 Driving increased alignment in pricing structures across Capital Markets
 </li>
 <li>
 Effectively collaborate with business to provide high quality analysis to our stakeholders.
 </li>
 <li>
 Proactively identify, analyse and present commercial opportunities
 
 
 </li>
 </ul>
 SKILLS AND EXPERIENCE:
 
 
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Communication, Collaboration and Analytical skills
 </li>
 <li>
 Intermediate proficiency in data visualisation tool (Eg: Tableau)
 </li>
 <li>
 Intermediate proficiency in Python (NumPy, Pandas, Prophet, scikit-learn)
 </li>
 <li>
 Intermediate proficiency in SQL
 
 
 </li>
 </ul>
 
 Desired Skills:
 
 
 
 <ul>
 <li>
 At least 2-3 years of professional experience is desirable
 </li>
 <li>
 Understanding of financial markets a plus
 </li>
 <li>
 Knowledge of developing forecasting models a plus
 </li>
 <li>
 Prior experience in Data Science and Advanced Analytics a plus
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 Bachelor&rsquo;s Degree in Data Science or equivalent experience
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Data Scientist

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

Shell

<div>
 
 What&rsquo;s The Role
 
 
 
 The Commercial Data Science (CDS) team partners with Shell&rsquo;s business units to deliver data-driven solutions through deep process understanding and technical excellence.
 
 
 As a Data Scientist within the Digital Process Twin (DPT) portfolio, you will apply process mining, optimization, and AI/ML techniques to process-centric data to identify inefficiencies, predict process behavior, and optimize end-to-end business performance. You will collaborate closely with engineers, architects, and fellow data scientists to design scalable analytical solutions and integrate them into Shell&rsquo;s process-mining ecosystem.
 
 
 The Digital Process Twin Centre of Excellence (CoE) aims to &ldquo;Empower Process Transformation through Digital Process Twins&rdquo; by advancing process-mining and analytics capabilities. Shell is recognized as an industry thought leader in process intelligence, pioneering innovative analytical methodologies and data-driven process transformation. The CoE collaborates with academic institutions, industry forums, and technology vendors to drive innovation and applied research in process analytics.
 
 
 If you are passionate about building advanced analytical models using process event data and developing intelligent solutions that enhance operational agility and enable autonomous processes, we invite you to join us as a Data Scientist contributing to Shell&rsquo;s digital process transformation journey.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Develop, and implement machine learning and optimization models using process event data to predict, classify, and enhance business-process performance.
 </li>
 <li>
 Apply process-mining and AI/ML techniques to discover process patterns, identify root causes, and quantify improvement opportunities.
 </li>
 <li>
 Implement and maintain process data models &mdash; integrating and transforming data from enterprise systems (e.g., SAP, Salesforce, ServiceNow) into structured, analysis-ready pipelines for process-mining and machine-learning applications.
 </li>
 <li>
 Collaborate with senior data scientists, data engineers, and software developers to embed models into Shell&rsquo;s process-mining platform for scalable, real-time analytics.
 </li>
 <li>
 Develop algorithms that combine process-mining insights with AI/ML models for anomaly detection, forecasting, and prescriptive optimization.
 </li>
 <li>
 Implement MLOps and DevOps workflows for model lifecycle management, version control, deployment, and monitoring using GitHub and CI/CD pipelines.
 </li>
 <li>
 Support the establishment of best practices in solution design, data quality, and delivery of scalable analytical products aligned with strategic business objectives.
 </li>
 <li>
 Contribute to research and innovation by evaluating emerging tools, algorithms, and open-source frameworks in process intelligence and digital twins.
 </li>
 <li>
 Ensure Responsible and Explainable AI (XAI) principles are embedded in all model development and deployment practices.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 6&ndash;8 years of experience in data science, including hands-on development of AI/ML or optimization models and at least 2 years working with process event or behavioral data.
 </li>
 <li>
 Proven track record of building and deploying analytical solutions from concept to production.
 </li>
 <li>
 Demonstrated expertise in applying machine learning, statistical modeling, and process-mining algorithms to large, multi-source enterprise datasets.
 </li>
 <li>
 Strong programming proficiency in Python, SQL, and data-modeling techniques for event data.
 </li>
 <li>
 Experience in process data model design, development, and deployment, including creation of reusable data schemas and pipelines for process analytics.
 </li>
 <li>
 Experience integrating ML models with process-mining platforms such as Celonis EMS or open-source frameworks (PM4Py, ProM).
 </li>
 <li>
 Familiarity with Agile development, MLOps, and DevOps practices for automation, testing, and deployment.
 </li>
 <li>
 Solid understanding of process data structures (case IDs, activities, timestamps, attributes) and their application in process-performance modeling.
 </li>
 <li>
 Exposure to cloud environments (Azure, AWS, or GCP) for data science workloads is desirable.
 </li>
 <li>
 Demonstrated commitment to technical rigor and model explainability through Responsible AI practices.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.
 </li>
 <li>
 Proficiency in Python, SQL, and data engineering for analytical / process data modeling.
 </li>
 <li>
 Experience in machine learning, deep learning, or optimization algorithms applied to real-world business processes.
 </li>
 <li>
 Strong foundation in process-mining techniques, including event-log discovery, conformance checking, and process enhancement.
 </li>
 <li>
 Understanding of MLOps concepts (CI/CD, GitHub, Docker, MLflow) for scalable deployment.
 </li>
 <li>
 Ability to design, test, and optimize data-driven models to enhance process visibility and performance.
 </li>
 <li>
 Experience working in cloud environments (Azure, AWS, or GCP) for data science workloads.
 </li>
 <li>
 Familiarity with Celonis EMS, SAP Signavio, or similar process-mining platforms.
 </li>
 <li>
 Knowledge of process simulation, optimization, or operations research methods.
 </li>
 <li>
 Exposure to big data frameworks (Spark, Databricks) for handling large-scale event data.
 </li>
 <li>
 Ability to actively engage in professional communities and forums to share insights and collaborate on advancements in data science and analytics.
 </li>
 <li>
 Strong analytical thinking and technical documentation skills.
 </li>
 <li>
 Experience with open-source process-mining frameworks (PM4Py, ProM).
 </li>
 <li>
 Research contributions or proof-of-concept development in process intelligence or applied AI.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You&rsquo;ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You&rsquo;ll be able to balance your priorities as you become the best version of yourself.
 
 
 <ul>
 <li>
 Progress as a person as we work on the energy transition together.
 </li>
 <li>
 Continuously grow the transferable skills you need to get ahead.
 </li>
 <li>
 Work at the forefront of technology, trends, and practices.
 </li>
 <li>
 Collaborate with experienced colleagues with unique expertise.
 </li>
 <li>
 Achieve your balance in a values-led culture that encourages you to be the best version of yourself.
 </li>
 <li>
 Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.
 </li>
 <li>
 Grow as you progress through diverse career opportunities in national and
 </li>
 <li>
 international teams.
 </li>
 <li>
 Gain access to a wide range of training and development programmes.
 
 
 </li>
 </ul>
 
 An Inclusive &amp; Progressive Place to Work
 
 
 
 <ul>
 <li>
 To power progress together, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we&rsquo;re nurturing an inclusive environment &ndash; one where you can express your ideas, extend your skills, and reach your potential.
 </li>
 <li>
 We&rsquo;re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply, and we&rsquo;ll take it from there.
 </li>
 <li>
 We&rsquo;re closing the gender gap &ndash; whether that&rsquo;s through action on equal pay or by enabling more women to reach senior roles in engineering and technology.
 </li>
 <li>
 We&rsquo;re striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity.
 
 
 </li>
 </ul>
 
 Shell in India
 
 
 
 Shell is a diversified energy company in India with 13,000 employees, and presence in Integrated Gas, Downstream, Power, Renewable and Upstream. Additionally, we have deep capabilities in R&amp;D, digitalisation, and business operations.
 
 
 Our global strategy, Powering Progress, is designed to generate value for our shareholders, customers, and the wider society, and focuses on creating more value with less emissions. The strategy supports our purpose of providing more and cleaner energy solutions, with the aim of profitably transforming Shell into a net-zero emissions energy business by 2050. As India moves towards its target of net-zero emissions by 2070, Shell India aims to play a leading role in securing vital energy for today, while investing in, and helping to build, the energy system of the future through strategic investments in the country.
 
 
 Our Lubricants business serves over 50,000 consumers through a strong network of over 200 distributors, and operates an end-to-end value chain that spans conceptualization, development, and production at a world-class blending plant at Taloja. Through our 350-plus retail stations, we offer an integrated mobility experience including fuels, cafes, and convenience stores, with a prominent network of EV recharging facilities.
 
 
 Shell owns and operates a LNG re-gasification terminal at Hazira, Surat, with a capacity of 5 MTPA and a LNG truck-loading unit that plays a crucial role in helping meet India&rsquo;s growing demand for gas across sectors. In 2022, Shell acquired Sprng Energy in a $1.55 billion deal to build an integrated energy transition business in the country. Sprng is a leading renewable energy company in India which develops and manages solar, wind, and hybrid power generation facilities and infrastructure.
 
 
 Our three capability centres across Bangalore and Chennai serve as a technology and innovation powerhouse for Shell globally, working as a delivery engine for core technical, digital, and finance processes: pioneering digital innovation and cutting-edge technologies across the energy sector. We also have strong academic partnerships and collaborations with leading universities and technology institutes to accelerate decarbonization efforts within the energy sector.
 
 
 We are committed to positively contributing to the communities in which we operate through programmes on STEM Education, Skilling, and Livelihood across India. We nurture and invest in startups developing initiatives focused on accelerating energy innovation through programs such as Shell E4 and Shell Eco-marathon. We also have strategic investments in new energy companies such as Husk Power, d.light, Orb Energy, and Cleantech Solar.
</div>

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

PayPal

<div>
 
 The Company
 
 
 PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
 
 
 We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
 
 
 We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
 
 
 Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
 
 
 
 Job Description Summary:
 
 
 <ul>
 <li>
 Apply strategic and data analytics skills to solve problems in the PayPal Global Risk Management team. Work with stakeholders across different teams such as Product, Platform, Machine Learning, Operations to drive strategic initiatives. The Business Strategy and Planning - Automation Strategy (BSAP ASTRA) team focuses on driving automation initiatives for the risk back office. We work closely with the Front end strategy, consumer and seller risk operations, product, and modeling teams to identify automation opportunities to drive efficiency.
 
 
 
 </li>
 </ul>
 
 Job Description:
 
 
 
 Essential Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and implement data science models and algorithms.
 </li>
 <li>
 Analyze and interpret complex data sets.
 </li>
 <li>
 Ensure data quality and integrity.
 </li>
 <li>
 Collaborate with stakeholders to understand data requirements.
 </li>
 <li>
 Optimize data processes for efficiency and performance.
 </li>
 <li>
 Perform advanced statistical analysis and reporting.
 
 
 
 </li>
 </ul>
 
 Expected Qualifications:
 
 
 
 <ul>
 <li>
 1+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.
 
 
 
 </li>
 </ul>
 
 Additional Responsibilities And Preferred Qualifications
 
 
 <ul>
 <li>
 Provide analytical insights into problems, emerging trends and changes to portfolio
 </li>
 <li>
 Drive projects end to end from ideation to implementation in a time sensitive and efficient manner
 </li>
 <li>
 Identify new opportunities and continuous improvement to contribute to the team&rsquo;s KPIs and targets
 </li>
 <li>
 Work closely with business partners and stakeholders to determine how to design analysis and measurement approaches that will significantly improve our ability to understand and address emerging business issues
 </li>
 <li>
 Effectively managing relevant stakeholders through the lifecycle of a project by effectively understanding the various needs, priorities and perspectives in order to drive for a solution
 </li>
 <li>
 Preferred Qualifications
 </li>
 <li>
 Proficiency using SQL and querying relational databases
 </li>
 <li>
 Experience in at least one statistical programming language (SAS, R, Python)
 </li>
 <li>
 Familiarity with reporting tools (Tableau, Power BI or Qlik) is highly desired.
 </li>
 <li>
 Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting, NLP, etc.
 </li>
 <li>
 Experience with structuring analyses to solve business problems using data and analytics tools and techniques
 
 
 
 </li>
 </ul>
 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
 
 
 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
 
 
 
 Our Benefits:
 
 
 
 At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
 
 
 We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
 
 
 
 Who We Are:
 
 
 
 To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx
 
 
 
 Commitment to Diversity and Inclusion
 
 
 
 PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, 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 federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
 
 
 
 Belonging at PayPal:
 
 
 
 Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
 
 
 Any general requests for consideration of your skills, please Join our Talent Community.
 
 
 We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.
 
 
 REQ ID R0133235
</div>

Explore 574+ Data scientist in Mangaluru India this December. Find roles across top companies and apply now to boost your career.

574 data scientist jobs IN Mangaluru India

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Director - Data Scientist

Director - Data Scientist

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