Analyst, Geo Analytics

Boston Consulting group

Ex: At least 2-3years of relevant industry work experience providing advanced analytics solutions and around 1-2 years of consulting experience

Full Time

Bangalore,India

WHAT YOULL DO As a part of BCG’s GAMMA A&S team you will work closely with consulting teams on a diverse range of advanced analytics topics. You will have the opportunity to leverage analytical methodologies to deliver value to BCGs Consulting (case) teams and Practice Areas (domain) through providing analytics subject matter expertise, and accelerated execution support. You will collaborate with case teams to gather requirements, specify, design, develop, deliver and support analytic solutions serving client needs. You will provide technical support through deeper understanding of relevant data analytics solutions and processes to build high quality and efficient analytic solutions. YOURE GOOD AT Work with case (and proposal) teams Executes & delivers original analysis and insights to case teams, typically owns all or part of an analytics module and may be integrated with a case team Establishes credibility by thought partnering with case teams on analytics topics; takes positions and draws conclusions on a range of external and internal issues Communicates analytical insights through sophisticated synthesis and packaging of results (Including PPT slides and charts) With consultants - collects, synthesizes, analyzes case team learning & inputs into new best practices and methodologies Work with topic and sector teams Contributes to development of new topic and sector-related analytics products based on repeated case team requests Collaborates on PA intellectual capital development such as internal investments in industry and functional research/publication Assures proper sign-off before uploading materials into Knowledge Management; sanitizes confidential client content in marketing documents Develops topic and sector content related to analytics case work or Practice Area meetings and trainings Technical skills Experience with multiple analytics methods (one or more required Data management skills (e.g. data modeling, data integrity QA/QC) Geospatial data visualization and analytics (specialties such as cluster detection or geo- statistical methods) Spatial-temporal analysis (cartographic animation of time-series data) Network analysis (location-allocation, OD matrix, travelling sales person, vehicle routing problem) Catchment area analysis, customer segmentation and targeting Experience in core analytics methods (one or more of the following): Geo coding & geo referencing Knowledge of open source & proprietary geo analytics data sources Geographic cluster recognition Data manipulation techniques (Knowledge of SAS, SAS EM or Alteryx will be a plus) Network analysis (location-allocation, OD Matrix travelling sales person, vehicle routing problem) Spatial-temporal analysis Familiarity with analytics tools (one or more required) GIS toolkits (ESRI, Quantum GIS, MapInfo or similar) Advanced Excel/Tableau/SQL/Python Alteryx, including geospatial types and functions Knowledge of Llama soft/SupplyChain Guru a plus Remote Sensing Communicating with confidence and ease You will be a clear and confident communicator, able to deliver messages in a concise manner with strong and effective written and verbal communication. Thinking Analytically You should be strong in analytical solutioning with hands on experience in advanced analytics delivery, through the entire life cycle of analytics. Strong analytics skills with the ability to develop and codify knowledge and provide analytical advice where required YOU BRING (EXPERIENCE & QUALIFICATIONS) Undergraduate degree in a field linked to business analytics, statistics or geo-statistics, economics, operations research, applied mathematics, computer science, engineering, or related field is required; advanced degree is preferred At least 2-3years of relevant industry work experience providing advanced analytics solutions and around 1-2 years of consulting experience YOULL WORK WITH Our data analytics and artifical intelligence professionals mix deep domain expertise with advanced analytical methods and techniques to develop innovative solutions that help our clients tackle their most pressing issues. We design algorithms and build complex models out of large amounts of data. ADDITIONAL INFORMATION BCG GAMMA A&S combines innovative skills in computer science, artificial intelligence, statistics, and machine learning with deep industry expertise. The BCG GAMMA A&S team is comprised of data engineers, data scientists and business consultants who specialize in the use of advanced analytics to get high-impact business results. Our teams own the full analytics value-chain end to end: framing the business problem, building the data, designing innovative algorithms, creating scale through designing tools and apps, and training colleagues and clients in new solutions. Here at BCG GAMMA A&S, you’ll have the chance to work with clients in every BCG region and every industry area. We are also a core member of a rapidly growing Digital enterprise at BCG – a constellation of teams focused on driving practical results for BCG clients by applying leading edge analytics approaches, data, and technology.

Data Scientist

Tata Cliq

Ex: Core data science experience of minimum 4 years

Full Time

Bangalore,India

Tata CLiQ is the flagship digital commerce initiative of the Tata Group. It is a multi-category e-commerce platform, operating across categories such as Fashion, Footwear and Accessories, Electronics, and Luxury. It has a unique omnichannel marketplace model offering customers the convenience of quicker delivery (by shipping from store), easy pick-up and returns, across 1,200+ brands and 1,000 stores in 100+ Indian towns and cities. It is also Indias definitive destination for exclusive Fashion and Electronics brands. At CLiQ: • We obsess over customer delight. • We are out there to find an alternate way of doing e-commerce. • We carry an attitude to develop a culture of learning and continuous improvement, both for people and processes. • We believe in Uncomfortable Transparency. • We will always be respectful, empathetic, and caring about the well-being of our teams. • we encourage experiments and creativity in Technology. • We develop and use technology to enhance day-to-day life and have a positive impact on customers. • We encourage experiments and creativity in Technology. We are committed to strengthening diversity, equity, and inclusion at the workplace through an enabling environment, supportive work-life policies for employees, and a culture that welcomes differences and creates a sense of belonging. We strive to create a work environment where all employees can develop and grow to achieve their full potential. We are an equal opportunity employer and are committed to maintaining respect and dignity for all” Overview- As a data scientist you will be expected to have the scientific rigor to create high impact by working on areas that are most challenging and will change the way we do business. You will be expected to publish and engage with the data science and academic community in the country. Our cross-functional stakeholders spanning marketing, category rely on us to deliver their targets. This means they trust on us to build stuff most perfectly.  Responsibilities · Understanding the business challenges & opportunities and identifying Data Science and Machine Learning (DS/ML) use-cases · Working on solving some of the complex ecommerce use-cases around search, product relevance, personalization, fraud, and recommendations · Working on state of art methodologies and developing recommendation engine frameworks, designing NLP/NLG Modules, and/or building computer vision models · Developing Supervised and Unsupervised DS/ML Models, converting the overall pipelines to production ready state and supporting the deployment · Presenting the DS/ML Model results and insights to key business stakeholders and articulating the business impact · Involve in the end-to-end data science/machine learning project life cycle - hypothesizing the data requirements, sourcing the data, preparing data, performing feature engineering, creating insights, developing models, and summarizing the insights/models Skills and Qualifications · At least 5 Years of ML/DS experience · Hands on experience in NLP/NLG, Recommendation Engine or Computer Vision Algorithms & Frameworks · Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. · Experience using Python, Pyspark, Redshift, EMR and scaling models in production. Excellence in at least one of these is highly desirable. · Great communication & problem-solving skills · Prefer experience with NoSQL databases, such as MongoDB, Cassandra, HBase  · Good, applied statistics skills, such as distributions, statistical testing, regression, etc. · Data-oriented personality · Scrappy and can work well with data engineers and in case of low data engineering bandwidth can set her / his own pipelines Qualifications 1. B-Tech from Tier 1 engineering college  2. E-commerce experience preferred 3. Strong preference for a candidate with an experience to work across cross functional teams 4. MA Economics / MSQE / M Stats from DSE / ISI 5. 5 - 8 years’ work experience in related field (i.e. e-commerce, consulting) is preferred. Core data science experience of minimum 4 years is an absolute must The opportunities we have are perfect for highly motivated and talented candidates. We are looking for candidates who have a strong passion for customers, a high level of comfort with uncomfortable transparency, and a keen sense of ownership and drive to deliver results. So QUiQ - PiQ – CliQ before the opportunity is missed.

Data Scientist - 1

PayPal

Ex: 1 to 3 years

Full Time

Bangalore,India

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. When applying for a job you are required to create an account, if you have already created an account - click Sign In. Creating an account will allow you to follow the progress of your applications. Our system does have some requirements that will help us process your application, below are some guidelines for creation of your account: • Provide full legal First Name/Family Name – this is important for us to ensure our future hires have the right system set up. • Please Capitalize first letter of your First and Last Name. • Please avoid using fully capitalized text for your First and/or Last Name. • NOTE: If your name is hyphenated or has multiple capitalization, please use the same format as your government ID. Job Description Summary: We are looking for a Data Scientist to develop PayPal’s Risk strategy within Consumer Risk portfolio. This portfolio is comprised of PayPal’s newest leading-edge payments solutions as well as customized experiences developed for the company’s highest-priority strategic partnerships. The team is also responsible for partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Each Data Scientist in this team has full ownership of a sub-portfolio of merchants/ countries/ products and is responsible for end-to-end management of loss and decline rate strategies. Day-to-day duties include data analysis, monitoring and forecasting, creating the risk decision logic using BigData/Hadoop tools and implementing risk rules/ strategies using Analytics techniques such as Decision Tree, providing requirements to AI/ML modeling and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. If you’re interested in working with PayPal’s most interesting payments experiences, then this is the right team for to join! Job Description: • Strong analytical skills: ability to build quick estimates using back-of-the-envelope analysis, structure (and, if needed, execute) more complex analyses, pull together business cases and forecasts to navigate through multi-dimensional sets of trade-offs. Experience in Payment fraud / risk analytics is an advantage. • • Enthusiasm for data-driven problem solving within a fast-paced environment is a must. In addition, experience with Microsoft Excel or statistical software, working knowledge of SQL/ BigData/Hadoop, and hands-on experience in Analytics techniques involving large data sets such as Decision Tree, AI/ ML techniques, etc. Knowledge of Hadoop is must. • • Polished communication skills: risk analysts need to collaborate cross-functionally with product managers, data scientists, business owners, and customers to learn from subject-matter experts, present findings in a clear and concise manner, and reach alignment on how to execute risk strategies. • • Education: Graduate degree from good colleges with 1-3 years of experience Subsidiary: PayPal Travel Percent: 0 Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’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: Click Here to learn more about our culture and community. PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com. 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 [email protected]. As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

Data Analyst -2

PayPal

Ex: Experience with or willingness to learn tools such as SQL, R, Python, Tableau

Full Time

Bangalore,India

Job Description Time Type: Full time At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. When applying for a job you are required to create an account, if you have already created an account - click Sign In. Creating an account will allow you to follow the progress of your applications. Our system does have some requirements that will help us process your application, below are some guidelines for creation of your account: Provide full legal First Name/Family Name – this is important for us to ensure our future hires have the right system set up. Please Capitalize first letter of your First and Last Name. Please avoid using fully capitalized text for your First and/or Last Name. NOTE: If your name is hyphenated or has multiple capitalization, please use the same format as your government ID. Job Description Summary:   PayPal is a leading technology platform and digital payments company that enables digital and mobile payments on behalf of consumers and merchants worldwide. Its solutions include PayPal, PayPal Credit, Braintree, Venmo, Xoom, iZettle, and Paydiant products. PayPal is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our goal is to enable our consumers and merchants to manage and move their money anywhere in the world, anytime, on any platform and using any device. Job Description: About the Role   As a Data Scientist at PayPal, you will apply your strategic and analytical skills to major company challenges. You will act as a business consultant to drive recommendations and implement solutions that ultimately impact the bottom line. And you will do it all by collaborating with a global team of colleagues across sales, operations, product, data science, and finance in an environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.   Your Day-to-day Will Involve Using modeling and analytics to understand how business decisions impact our bottom line. This may include assessing risks of new products, determining fraud policies, or identifying inefficiencies in existing operations. Ensuring the team is delivering on our KPIs by using various data mining and data visualization tools to monitor portfolio performance and identify improvement opportunities Developing hypotheses and set up your own problem frameworks to test for the best solutions. You will also scope the operational feasibility, lead implementation efforts, and monitor the success of your solutions. Leveraging data analysis tools and technologies. For example, using machine learning to determine how we identify fraud. Creating new solutions rooted in empathy and research that assist all customers as they work to better manage their finances.  Collaborating in a team environment. As part of our crew, you will learn to energetically rally diverse groups in pursuit of a common goal.   The Ideal Candidate Is Innovative & Curious - You have the desire and ability to connect and empathize with our customers. You have an entrepreneurial spirit and get excited about creating new businesses and reinventing current ones. You ask why, explore, and bring your unique perspective to the table. Analytical & Action-Oriented - You are data driven and outcome focused. You grow comfortable with ambiguity, fueled by a hunger to learn and constantly seeking out new challenges. You have a desire to take action, try new things, and sometimes fail. You persevere but know when to change course and are up for juggling multiple deliverables. Collaborative & Team-Oriented - You always keep the people around you in the loop and are excited to communicate complex ideas clearly to make sure your co-workers understand the “why” behind their work and their key priorities. Inclusive - You will empathize with those around you and care about their success, as you bring people together around what’s possible. Basic Qualifications Bachelor’s degree or higher in a quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering) Experience with or willingness to learn tools such as SQL, R, Python, Tableau Were a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors, which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom. 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. Subsidiary: PayPal Travel Percent: 0 Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’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: Click Here to learn more about our culture and community. PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com. 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 [email protected]. As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

Data Management Analyst

Micron Technology

Ex: 5+

Full Time

Hyderabad,Telangana

Semiconductor Manufacturing

Data Analyst

Neustar

Ex: 1 - 3

Full Time

Hyderabad,Telangana

Entry level IT Services and IT Consulting

Marketing Data Analyst

ICE

Ex: 6+

Full Time

Hyderabad,Telangana

Financial Services

Data Engineer

Milestone Technologies

Ex: 3+

Full Time

Hyderabad,Telangana

Entry level

Junior Data Analyst

Experian

Ex: 2 -3

Full Time

Hyderabad,Telangana

Mid-Senior level

Data Engineer

Fisker Inc

Ex: 2 - 5

Full Time

Hyderabad,Telangana

Entry level