data scientist

senior data scientist

senior associate

senior manager

applied scientist 3

senior scientist

Netcore Cloud

<div>
 
 
 
 Who We Are:
 
 
 
 
 Netcore Cloud is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale projects.
 
 
 
 
 
 
 Role Summary:
 
 
 
 As a Senior Data Scientist, you&rsquo;ll work on developing, deploying, and optimizing advanced machine learning solutions across a range of problem statements such as personalization, customer segmentation, predictive modeling, and NLP. This is a high-impact role that will allow you to collaborate across cross-functional teams and contribute directly to our product innovation roadmap.
 
 
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 Model Development and Innovation
 
 :
 
 <ul>
 <li>
 Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation
 </li>
 <li>
 Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application.
 </li>
 <li>
 Optimise model performance, scalability, and interpretability for production systems.
 </li>
 </ul>
 
 
 MLOps &amp; Deployment
 
 
 <ul>
 <li>
 Contribute to the deployment of models into production environments using MLOps best practices.
 </li>
 <li>
 Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling models.
 </li>
 </ul>
 
 
 Data &amp; Experimentation
 
 
 <ul>
 <li>
 Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation.
 </li>
 <li>
 Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product KPIs.
 </li>
 </ul>
 
 
 Technology and Tools
 
 :
 
 <ul>
 <li>
 Work with large-scale datasets, ensuring data quality and scalability of solutions.
 </li>
 <li>
 Leverage cloud platforms like AWS, GCP for model training and deployment.
 </li>
 <li>
 Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development.
 </li>
 <li>
 With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex.
 </li>
 </ul>
 
 
 Cross-functional Collaboration
 
 
 <ul>
 <li>
 Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science solutions.
 </li>
 </ul>
 
 
 
 
 
 
 Who You Are:
 
 
 
 
 
 Education
 
 :
 
 <ul>
 <li>
 Bachelors from Tier 1 premier institute in relevant field, or;
 </li>
 <li>
 Master&rsquo;s or PhD in Computer Science, Data Science, Mathematics, or a related field.
 </li>
 </ul>
 
 
 Experience
 
 :
 
 <ul>
 <li>
 
 4&ndash;6 years
 
 of hands-on experience in machine learning or data science roles.
 </li>
 <li>
 Proven expertise in machine learning, deep learning, NLP, and recommendation systems.
 </li>
 <li>
 Hands-on experience deploying ML models in production at scale.
 </li>
 <li>
 Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a plus.
 </li>
 </ul>
 
 
 Technical Skills
 
 :
 
 <ul>
 <li>
 Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of statistical methods, predictive modeling, and algorithm design.
 </li>
 <li>
 Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar).
 </li>
 </ul>
 
 
 Soft Skills
 
 :
 
 <ul>
 <li>
 Strong analytical and problem-solving mindset.
 </li>
 <li>
 Excellent communication skills to articulate data-driven insights.
 </li>
 <li>
 A passion for innovation and staying up-to-date with the latest trends in AI/ML.
 </li>
 </ul>
 
 
 
 
 
 
 Why Join Us:
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge AI/ML projects impacting millions of users.
 </li>
 <li>
 Be part of a collaborative, innovation-driven team in a fast-growing Martech company.
 </li>
 <li>
 Competitive compensation and growth opportunities in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 We&rsquo;d love to hear how your background can contribute to building the next generation of intelligent marketing solutions. Apply now or reach out for a conversation. :)
 
</div>

Senior Data Scientist

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: Senior Data Scientist
 
 
 
 
 Location: Bangalore
 
 
 
 
 Reporting to: Senior Manager Analytics
 
 
 
 
 
 
 
 1) Purpose of the role
 
 
 
 Contributing to the Data Science efforts of AB InBev's global commercial analytics capability of Sales &amp; Distribution Analytics. Work with internal stakeholders at ABI to understand their business problems, translate those problems into statistical problems like survey design, experiment design, optimization, forecasting, etc which can best address those business problems, work with statistical experts to develop robust models and generate business insights.
 
 
 
 
 
 
 2)
 
 
 Key tasks &amp; accountabilities
 
 
 <ul>
 <li>
 Understand the business problem and translate that to an analytical problem; participate in the solution design process.
 </li>
 <li>
 Storyboarding and presenting the insights to stakeholders &amp; senior leadership.
 </li>
 <li>
 Independently lead project delivery.
 </li>
 <li>
 Working with Analytics Manager to create project plan, and design analytics roadmap.
 </li>
 <li>
 End to end development and deployment of machine learning or deep learning models.
 </li>
 <li>
 Ability to communicate findings clearly to both technical and business stakeholders.
 </li>
 <li>
 Should be able to quantify the impact, and continuously implement improvements.
 </li>
 <li>
 Document every aspect of the project in standard ways.
 </li>
 <li>
 Summarize insights and recommendations to be presented back to the business.
 </li>
 <li>
 Use innovative methods to continuously improve the quality of statistical models.
 </li>
 </ul>
 
 
 
 
 
 3) Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required.
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in engineering, Statistics, Applied Statistics, Economics, Econometrics, Operations Research or any other quantitative analysis.
 </li>
 </ul>
 
 
 
 
 
 Previous work experience required:
 
 
 
 
 
 
 6+ years in data science role, preferably in CPG domain Expert level proficiency in Python (knowledge of classes, decorators, written end-to-end ML or Software or data pipelines in python) Experience working with SQL (knowledge of data warehouses, different databases, and fundamentals about RDBMS) Experience working with Azure (ADLS, Databricks, Azure SQL or Postgres, app services and related) Well versed with Machine learning and Deep learning algorithms implementation Exposure to working with complex datasets, machine learning and DL libraries like scikit-learn, TensorFlow, Keras, Pytorch etc. Capable of building insightful visualizations in Python Good to have &ndash;category management, Optimization techniques, knowledge of html, CSS, JS, YAML/docker &amp; has worked on Dash /Flask /Django or any web application framework.
 
 
 
 
 
 
 Technical Skills required
 
 
 
 
 
 <ul>
 <li>
 Hands-on experience in data manipulation using Excel, Python, SQL.
 </li>
 <li>
 Expert level proficiency in Python (knowledge of writing end-to-end ML or data pipelines in python).
 </li>
 <li>
 Proficient in application of ML concepts and optimization techniques to solve end-to-end business problems.
 </li>
 <li>
 Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform.
 </li>
 </ul>
 
 
 
 
 
 Other Skills required.
 
 
 
 
 
 <ul>
 <li>
 Demonstrated leadership skills.
 </li>
 <li>
 Passion for solving problems using data.
 </li>
 <li>
 Detail oriented, analytical, and inquisitive
 </li>
 <li>
 Ability to work independently and with others.
 </li>
 <li>
 Takes responsibility and makes effective decisions.
 </li>
 <li>
 Problem solving
 </li>
 <li>
 Planned and organized.
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 
 
 
 We dream big to create future with more cheers.
 
 
</div>

Chevron

<div>
 
 About The Position
 
 
 
 Chevron invites applications for the role of Data Scientist within our Enterprise AI team in India. This position is integral to designing and developing AI/ML models that significantly accelerate the delivery of business value. The successful candidate will be working with business stakeholders to prototype and deliver innovative data science applications that add value to Chevron&rsquo;s business. This position will provide broad exposure to the application of technology to enable business with many opportunities for growth and professional development for the candidate.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Combine expertise in mathematics, statistics, computer science, and domain knowledge to create AI/ML models to solve various Chevron business challenges
 </li>
 <li>
 Collaborate closely with the AI Technical Manager and GCC Petro-technical professionals and data engineers to integrate models into the business framework.
 </li>
 <li>
 Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data to help Chevron businesses gain insight and improve decision making, workflow, and automation.
 </li>
 <li>
 Understand and communicate the value of proposed opportunity with team members and other stakeholders.
 </li>
 <li>
 Identify needed data and appropriate technology to solve identified business challenges.
 </li>
 <li>
 Clean data and develop and test models.
 </li>
 <li>
 Establish the life cycle management process for models.
 </li>
 <li>
 Provide technical mentoring in modelling and analytics technologies, the specifics of the modelling process, and general consulting skills.
 </li>
 <li>
 Drive innovation in AI/ML to enhance Chevron's capabilities in data-driven decision-making.
 </li>
 <li>
 Aligns with team on shared goals and outcomes, recognizes others&rsquo; contributions, and work collaboratively &amp; seek diverse perspectives.
 </li>
 <li>
 Takes actions to develop self and others beyond existing skillset.
 </li>
 <li>
 Encourages innovative ideas, adapts to change and changing technologies
 </li>
 <li>
 Understand and communicate data, insights, and model behaviors to stakeholders with varying levels of technical expertise.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 5 - 10 years of experience
 </li>
 <li>
 Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development)
 </li>
 <li>
 Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred)
 </li>
 <li>
 Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows.
 </li>
 <li>
 Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results.
 </li>
 <li>
 Ability to quickly assess current state and apply technical concepts across cross-functional business workflows.
 </li>
 <li>
 Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals.
 </li>
 <li>
 Ability to translate complex data into actionable insights that drive business value.
 </li>
 <li>
 Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes.
 </li>
 <li>
 Demonstrated ability to adjust behaviour based on feedback and provide feedback to others.
 </li>
 <li>
 Team-oriented mindset with effective communication skills and the ability to work collaboratively.
 
 
 </li>
 </ul>
 Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.
 
 
 Chevron participates in E-Verify in certain locations as required by law.
</div>

Danaher Corporation

<div>
 At first glance, you&rsquo;ll see Danaher&rsquo;s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms&mdash;life sciences, diagnostics, and biotechnology.
 
 
 Look again and you&rsquo;ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You&rsquo;ll find associates who are as certain about their impact as they are about where they&rsquo;re headed next.
 
 
 You&rsquo;ll find the Danaher Business System, which makes everything possible. You&rsquo;ll also see a company that investors trust&mdash;our culture of continuous improvement has helped us outperform the S&amp;P 500 by more than 5,000% over the past 25 years.
 
 
 The Senior Supply Chain Data Scientist will join the Supply Chain AI team, reporting to Principal Supply Chain AI Scientist. This role is responsible for developing and deploying OR, ML and AI models to optimize supply chain functions across the enterprise. This role will be working remotely.
 
 
 
 In this role, you will have the opportunity to:
 
 
 
 <ul>
 <li>
 Lead the design, development, and implementation of OR/AI/ML models tailored to supply chain subject areas such as demand forecasting and sensing, inventory optimization, transportation and logistics routing, supplier risk prediction, production planning and network optimization.
 </li>
 <li>
 Develop and deploy generative AI models for supply chain use cases, fine-tuning large pre-trained LLMs, evaluating modeling performance; continuously iterate and optimize the solutions.
 </li>
 <li>
 Collaborate with cross-functionally with supply chain, engineering, IT, and business solution implementation team to align technical solutions with business needs.
 </li>
 <li>
 Partners with solution architect engineer to enable appropriate data flow/data model, development using appropriate tools/technology to ensure rapid prototyping, testing and deployment
 </li>
 <li>
 Ensure models are robust, scalable, and production ready with clear monitoring and feedback loops.
 </li>
 <li>
 Stay ahead of the curve on related emerging technologies and bring innovative approaches to supply chain optimization
 
 
 </li>
 </ul>
 
 The essential requirements of the job include:
 
 
 
 <ul>
 <li>
 PhD or Master&rsquo;s degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or a related field.
 </li>
 <li>
 5+ years of experience in applied OR/AI/ML roles, with at least 3 years focused on supply chain problems
 </li>
 <li>
 Strong expertise in optimization, regression, classification, time series, deep learning.
 </li>
 <li>
 Proficiency in programming languages such as Python, Java, Scala or similar
 </li>
 <li>
 Strong hands-on knowledge in developing/implementing Operations Research models and Machine Learning models to solve supply chain related problems
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms such as AWS, Snowflake etc.
 </li>
 <li>
 Strong communication skills to engage with technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 It would be a plus if you also possess previous experience in:
 
 
 
 <ul>
 <li>
 Knowledge of core business processes (Supply Chain, Operations) obtained by directly working in these functions is preferred.
 </li>
 <li>
 Experience with AI agent solution development
 </li>
 <li>
 Familiarity with ERP enterprise supply chain systems like Oracle, SAP
 
 
 </li>
 </ul>
 Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
 
 
 For more information, visit www.danaher.com.
</div>

Senior Data Scientist, Supply Chain

GoTo Group

<div>
 Gojek is a leading on-demand services company in Indonesia providing a variety of services like bike hailing, car hailing, food delivery, etc. We leverage cutting-edge technology and data-driven insights to deliver unparalleled user experiences and operational efficiency. If you&rsquo;re a data scientist at heart, this role is for you! because you&rsquo;ll be mining insights from the sea of data, building data products, and designing experiments with the ability to see the real-time impact of your contribution.
 
 
 As a Senior Data Scientist at Gojek, you will be at the forefront of leveraging data to drive strategic and operational improvements. You will lead complex analytical projects, mentor junior data scientists, and collaborate with cross-functional teams to develop and implement data-driven strategies that enhance our service offerings and operational efficiency.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Design and implement sophisticated statistical and machine learning models to solve complex business problems, optimize service delivery, and predict user behaviour. Use techniques such as deep learning, natural language processing, and time-series analysis.
 </li>
 <li>
 Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights. Provide strategic recommendations to drive business growth and operational excellence.
 </li>
 <li>
 Lead and mentor a team of data scientists and analysts. Provide guidance on best practices, model development, and analytical techniques. Foster a collaborative and high-performance environment within the data science team.
 </li>
 <li>
 Develop and enforce data governance and quality standards. Oversee data pipeline development, ensuring data accuracy, consistency, and accessibility. Advocate for and implement best practices in data management and analytics.
 </li>
 <li>
 Design and execute A/B tests and other experimentation methodologies to assess the impact of changes in product features, user interactions, and service delivery. Analyze results and make data-driven recommendations for optimization.
 </li>
 <li>
 Create high-impact visualizations and dashboards to communicate complex data insights to non-technical stakeholders. Present findings and recommendations in a clear, actionable manner to drive decision-making.
 </li>
 <li>
 Stay abreast of the latest trends and advancements in data science, machine learning, and analytics. Apply innovative techniques and tools to enhance analytical capabilities and contribute to the company&rsquo;s competitive edge.
 
 
 </li>
 </ul>
 
 What You Will Need
 
 
 
 <ul>
 <li>
 Master&rsquo;s in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable.
 </li>
 <li>
 5-7 years of experience in data science or a related field, preferably within the on-demand services or technology industry.
 </li>
 <li>
 Expertise in programming languages such as Python, R, or Scala, as well as proficiency with data manipulation and visualization libraries (e.g., pandas, NumPy, matplotlib, seaborn).
 </li>
 <li>
 Understanding of statistical concepts and techniques, with experience applying them to real-world problems.
 </li>
 <li>
 Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.
 </li>
 <li>
 A passion for learning and innovation, with a desire to stay ahead of the curve in the rapidly evolving field of data science and technology.
 
 
 </li>
 </ul>
 Our Data Science team currently consists of 40+ people based in India, Indonesia and Singapore who run Southeast Asia&rsquo;s leading Gojek business. We oversee all things data and work to become a thought partner for our Business Users, Product Team, and Decision Makers. It&rsquo;s our job to ensure that they have a structural approach to data-driven problem-solving. Right now, our focus revolves: how to make customers, drivers, and merchants happy and delighted. We have so far created millions of dollar impact across different journeys of customers, drivers and merchants
 
 
 We work with the Engineering, PMs and strategy functions hand-in-glove - be it constructing a new product or brainstorming on a problem like how do we reduce the wait time for the drive, how do we improve assortment, should we treat convenience seeking customer differently from value seeking customer etc
 
 
 As a team, we&rsquo;re concerned not only with the growth of the company, but each other&rsquo;s personal and professional growths, too. Along with us coming from diverse backgrounds, we often have fun sessions to talk about everything and anything from data information to our current movie list.
 
 
 
 About GoTo Group
 
 
 
 GoTo Group is the largest digital ecosystem in Indonesia with its mission to &ldquo;Empower Progress&rsquo; by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia&rsquo;s vast consumer household.
 
 
 
 About Gojek
 
 
 
 Gojek is Southeast Asia&rsquo;s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
 
 
 
 About GoTo Financial
 
 
 
 GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
 
 
 
 GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
 
 
 
</div>

Gojek - Senior Data Scientist (India)

Tiger Analytics

<div>
 
 
 Job Title : Data Scientist /Senior Data Scientist-BFS
 
 
 
 
 Location
 
 
 :
 
 Chennai, Bangalore, Hyderabad
 
 
 Skills : Data Science, Model Building, Python, Regression, Classification
 
 
 Domain : BFS
 
 
 NP :Immediate to 15 Days
 
 
 
 
 
 
 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 4000+ 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, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve:
 
 <ul>
 <li>
 
 Analytical Translation:
 
 Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies.
 </li>
 <li>
 
 Problem Solving:
 
 While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital.
 </li>
 <li>
 
 Client Engagement:
 
 Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities.
 </li>
 <li>
 
 Algorithmic Expertise:
 
 Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges.
 </li>
 <li>
 
 Quantitative Mastery:
 
 Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making.
 </li>
 <li>
 
 Cross-Functional Collaboration:
 
 Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life
 </li>
 </ul>
 
 
 What do we expect?
 
 
 <ul>
 <li>
 4 -10 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.
 </li>
 <li>
 
 Mandatory
 
 : Minimum 2+ years of experience in the Banking and Financial services industry
 </li>
 <li>
 Good communication skills, both verbal and written.
 </li>
 <li>
 Exhibit a fervour for crafting modular, scalable, and bug-free Python code.
 </li>
 <li>
 Comfortable in SQL with additional proficiency in office tools like Excel &amp; PowerPoint.
 </li>
 <li>
 Experience in production engineering best practices (e.g. Git versioning, Docker).
 </li>
 <li>
 Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark)
 </li>
 <li>
 Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP).
 </li>
 <li>
 Excitement to collaborate with diverse stakeholders across the organisation.
 </li>
 <li>
 In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods.
 </li>
 <li>
 Hunger to learn new technologies and embrace the change.
 </li>
 <li>
 Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations.
 </li>
 <li>
 Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role.
 </li>
 </ul>
 
 
 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>

Data Scientist / Senior Data Scientist- BFS

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
 </li>
 <li>
 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 Google One is a premium subscription to Google, delivering expanded storage, premium features, and AI-powered experiences across Google products to members. The team partners with teams across Google to deliver experiences to users that drive engagement and enhance loyalty, translating into subscription business growth.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Partner with product managers and Engineering and other folks in Analytics to understand the profile of Google One business, use data to evaluate how business is evolving, and drive decisions based on insights.
 </li>
 <li>
 Identify business problems and come up with analytical solutions that improve product and user experience.
 </li>
 <li>
 Perform analysis utilizing relevant tools (e.g., SQL, R, Python) and help solve problems, and take ownership of open-ended ambiguous business problems to reach an optimal solution.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Senior Data Scientist Product, Google One and Photos

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Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist, Supply Chain

Gojek - Senior Data Scientist (India)

Data Scientist / Senior Data Scientist- BFS

Senior Data Scientist Product, Google One and Photos