Minimum of 8 years of experience of which, 4 years should be of applied data mining
experience in disciplines such as Call Centre Metrics.
Strong experience in advanced statistics and analytics including segmentation, modelling, regression, forecasting etc.
Experience with leading and managing large teams.
Demonstrated pattern of success in using advanced quantitative analytic methods to solve business problems.
Demonstrated experience with Business Intelligence/Data Mining tools to work with
data, investigate anomalies, construct data sets, and build models.
Critical to share details on projects undertaken (preferably on telecom industry)
specifically through analysis from CRM.
About This opening is with an MNC
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Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.
Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform.
You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.
Job Descriptions
- Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
- Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing.
- Identify, prioritize, and design testing opportunities that will inform algorithm enhancements.
- Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
- Unlock insights by analyzing large amounts of complex website traffic and transactional data.
- Implement analytical models into production by collaborating with data analytics engineers.
Technical Requirements
- Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
- Machine Learning / Data Science Certification
Experience & Education
- Bachelor’s in Engineering / Master’s in Data Science / Postgraduate Certificate in Data Science.
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Understand long-term and short-term business requirements to precision match it with the capabilities of different distributed storage and computing technologies from the plethora of options available in the ecosystem.
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Create complex data processing pipelines
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Design scalable implementations of the models developed by our Data Scientist.
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Deploy data pipelines in production systems based on CICD practices
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Create and maintain clear documentation on data models/schemas as well as
transformation/validation rules
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Troubleshoot and remediate data quality issues raised by pipeline alerts or downstream consumers
Responsibilities:
- Design and develop strong analytics system and predictive models
- Managing a team of data scientists, machine learning engineers, and big data specialists
- Identify valuable data sources and automate data collection processes
- Undertake pre-processing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Requirements:
- Proven experience as a seasoned Data Scientist
- Good Experience in data mining processes
- Understanding of machine learning and Knowledge of operations research is a value addition
- Strong understanding and experience in R, SQL, and Python; Knowledge base with Scala, Java, or C++ is an asset
- Experience using business intelligence tools (e. g. Tableau) and data frameworks (e. g. Hadoop)
- Strong math skills (e. g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills
- Experience in Natural Language Processing (NLP)
- Strong competitive coding skills
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
Our client is among the rare success stories of Indian tech companies that are publicly listed. They are a pioneer in the adtech space and have built up market leadership at the global level serving fast growing digital native companies with the ability to do better audience targeting and get more ROI on their ad spends.
As a Data Operations (CPS), you will be responsible for overall coordination so as to manage end to end ad campaign delivery. You will also be responsible for interaction with all publishers that the company works with and managing ongoing relationships with them.
What you will do:
- Being responsible for the CPS affiliate channel, disbursement of offers, quality of delivery, margin management, and channel expansion
- Maximization of campaign deliveries in terms of ROI as well as absolute volume while maintaining the required margin targets
- Identifying new affiliates
- Growing business from existing affiliates
- Being responsible for the overall health of all campaigns, managing sales team/client expectations, coordination with the technical operations teams for required integrations between advertisers/clients and meeting margin targets
Desired Candidate Profile
What you need to have:- Graduation/ Post graduation in any discipline from a reputed institution
- 3+ years’ experience in the digital advertising domain, with CPS experience
- Record of working with cross functional teams and external partners
- Ability to multitask in a high pressure environment
- Basic finance understanding to manage the overall revenue and cost reconciliation
- A mindset of troubleshooting/ problem solving as required
- Maniacal attention to detail and very strict adherence to timelines
lesser concentration on enforcing how to do a particular task, we believe in giving people the opportunity to think out of the box and come up with their own innovative solution to problem solving.
You will primarily be developing, managing and executing handling multiple prospect campaigns as part of Prospect Marketing Journey to ensure best conversion rates and retention rates. Below are the roles, responsibilities and skillsets we are looking for and if you feel these resonate with you, please get in touch with us by applying to this role.
Roles and Responsibilities:
• You'd be responsible for development and maintenance of applications with technologies involving Enterprise Java and Distributed technologies.
• You'd collaborate with developers, product manager, business analysts and business users in conceptualizing, estimating and developing new software applications and enhancements.
• You'd Assist in the definition, development, and documentation of software’s objectives, business requirements, deliverables, and specifications in collaboration with multiple cross-functional teams.
• Assist in the design and implementation process for new products, research and create POC for possible solutions.
Skillset:
• Bachelors or Masters Degree in a technology related field preferred.
• Overall experience of 2-3 years on the Big Data Technologies.
• Hands on experience with Spark (Java/ Scala)
• Hands on experience with Hive, Shell Scripting
• Knowledge on Hbase, Elastic Search
• Development experience In Java/ Python is preferred
• Familiar with profiling, code coverage, logging, common IDE’s and other
development tools.
• Demonstrated verbal and written communication skills, and ability to interface with Business, Analytics and IT organizations.
• Ability to work effectively in short-cycle, team oriented environment, managing multiple priorities and tasks.
• Ability to identify non-obvious solutions to complex problems
Must have experience in BFSC domain.
Exp- Min 3yrs
Location- Pune
Mandatory Skills- Exp in powerBI/Tableau,
SQL
Basic Python
product insights that will drive product
strategy and roadmap
Develop dashboards and define metrics that
inform success for the Product Team
Help design, execute and evaluate A/B tests to
improve the user journey
Explore large, complex, and loosely defined
datasets to create actionable insights
Facilitate changes to product features to
improve competitive position and optimal
product performance. Work collaboratively with various teams
including marketing, business, UX, customer
support and engineering teams etc.
1-3 years of analyst experience at a product
company. Undergraduate degree from Tier 1 Colleges (IIT
/ BITS / NIT)
Comfortable diving into data and deriving
tangible insights
Experience with product analytics tools like
Amplitude/Clevertap, and data visualization
tools like PowerBI/Tableau is a plus
Experience with running A/B tests and
experiments
Prior Startup and Fintech experience is a plus
Prior startup experience is a plus
- Create, maintain and automate datasets and insightful dashboards to track core metrics and extract business insights
- Analyze large-scale structured and unstructured data to identify business opportunities and optimize features for Analytics.
- 8+ years experience doing Business Intelligence and Analytics work
- B.Tech/M.Tech in a technical field (Computer Science, Math, Statistics)
- Strong knowledge in Data Design, Data Modelling, and Data Validation best practices
- Proficient in data visualization, Preferably SSRS & Power BI
- Fluency with writing advanced SQL code
- Experience with SQL Server Administration and best practices
- Possess BFSI, Fintech Domain Knowledge
- Excellent interpersonal, cross-functional, communication, writing, and presentation skills
- Comfortable working in a fast-paced environment with the ability to be a team player
- Possess excellent Project Management and superior Team Management skills