

Lead Data Scientist
Job Description
As a Lead Data Scientist, you will be responsible for identifying, scoping, and delivering data science projects with a strong emphasis on causal inference.
The ability to take large, scientifically complex projects and break them down into manageable hypotheses and experiments to inform functional specifications, and then deliver features in a successful and timely manner, is expected. Maturity, high judgment, negotiation skills, ability to influence are essential to success in this role.
We will rely on your experience in successfully delivering projects that significantly, positively, and measurably affect the business. You should also have experience in large-scale data science projects.
What You'll Do
• Work closely with the Tech team to convert those POC into fully scalable products.
• Actively identify existing and new features which could benefit from predictive modelling and productionization of predictive models
• Actively identify and resolve strategic issues that may impair the team’s ability to meet strategic, scientific, and technical goals
• Contribute to research and development of AI/ML techniques and technology that fuels the business innovation and growth of -
• Work closely with engineers to deploy models in production both in real time and in batch process and systematically track model performance
• Encourage team building, best practices sharing especially with more junior team members
Requirements & Skills
• Strong problem solving skills with an emphasis on product development
• Master’s or PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field
• More than 8 years of experience in practicing machine learning and data science in business or a related field, with a focus on statistical analysis
• Strong background in statistics and causal inference.
• Proficient in statistical programming languages such as Python or R, and data visualization tools (e.g., Tableau, Power BI).
• Strong experience with machine learning algorithms and statistical modeling techniques
• Strong computing/programming skills; Proficient in Python, Spark, SQL, Linux shell script.
• Proven ability to work with large datasets and familiarity with big data technologies (e.g., Hadoop, Spark, SQL) is a plus.
• Experience with end to end feature development (owning feature definition, roadmap development and experimentation
• Effective leadership and communication skills, with the ability to inspire and guide a team.
• Excellent problem solving and critical thinking capabilities.
• Strong experience in Cloud technology.

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A Bachelor’s degree in data science, statistics, computer science, or a similar field
2+ years industry experience working in a data science role, such as statistics, machine learning,
deep learning, quantitative financial analysis, data engineering or natural language processing
Domain experience in Financial Services (banking, insurance, risk, funds) is preferred
Have and experience and be involved in producing and rapidly delivering minimum viable products,
results focused with ability to prioritize the most impactful deliverables
Strong Applied Statistics capabilities. Including excellent understanding of Machine Learning
techniques and algorithms
Hands on experience preferable in implementing scalable Machine Learning solutions using Python /
Scala / Java on Azure, AWS or Google cloud platform
Experience with storage frameworks like Hadoop, Spark, Kafka etc
Experience in building &deploying unsupervised, semi-supervised, and supervised models and be
knowledgeable in various ML algorithms such as regression models, Tree-based algorithms,
ensemble learning techniques, distance-based ML algorithms etc
Ability to track down complex data quality and data integration issues, evaluate different algorithmic
approaches, and analyse data to solve problems.
Experience in implementing parallel processing and in-memory frameworks such as H2O.ai


- Data Engineer
Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON
Mandatory Requirements
- Experience in AWS Glue
- Experience in Apache Parquet
- Proficient in AWS S3 and data lake
- Knowledge of Snowflake
- Understanding of file-based ingestion best practices.
- Scripting language - Python & pyspark
CORE RESPONSIBILITIES
- Create and manage cloud resources in AWS
- Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies
- Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform
- Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations
- Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
- Define process improvement opportunities to optimize data collection, insights and displays.
- Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible
- Identify and interpret trends and patterns from complex data sets
- Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
- Key participant in regular Scrum ceremonies with the agile teams
- Proficient at developing queries, writing reports and presenting findings
- Mentor junior members and bring best industry practices
QUALIFICATIONS
- 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
- Strong background in math, statistics, computer science, data science or related discipline
- Advanced knowledge one of language: Java, Scala, Python, C#
- Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
- Proficient with
- Data mining/programming tools (e.g. SAS, SQL, R, Python)
- Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
- Data visualization (e.g. Tableau, Looker, MicroStrategy)
- Comfortable learning about and deploying new technologies and tools.
- Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
- Good written and oral communication skills and ability to present results to non-technical audiences
- Knowledge of business intelligence and analytical tools, technologies and techniques.
Familiarity and experience in the following is a plus:
- AWS certification
- Spark Streaming
- Kafka Streaming / Kafka Connect
- ELK Stack
- Cassandra / MongoDB
- CI/CD: Jenkins, GitLab, Jira, Confluence other related tools
- Worked as a Node.js developer on multiple projects with relevant experience between 1 to 4+ Years.
- Extensive knowledge of Nodejs, JavaScript, APIs, web stacks, libraries, and frameworks.
- Able to work on independent nodejs projects.
- Experience in mongoDB database queries. Able to write and manage complex DB queries .
- Exceptional analytical and problem-solving aptitude.


Responsibilities: • Utilize established development tools, guidelines and conventions including but not limited to ASP.NET [Web API], SQL Server and C#.NET. |
Requirements |
• 4+ years of development experience using C#.NET. |

1. You can rock with your expertise in fundamental front-end languages such as HTML, CSS, and JavaScript.
2. You can make value additions aided by your familiarity with advanced JavaScript libraries and frameworks such as React.
3. You have top notch ability in server-side languages such as NodeJS, Microservice.
4. Database technology such as MySQL also falls in your comfort zone.
5. You can enhance our world with your Cloud Experience preferably AWS [EC2, RDS, S3, Lambda]
6. You take pride in your knowledge of code versioning tools such as Git or SVN.
7. Third party integration like payment gateway and any Plugins.
Responsibilities:
1. You’ll develop high-quality front-end architecture.
2. You’ll build solid back-end Microservices.
3. You’ll design and develop APIs and API documentation
4. You’ll help the team in designing and normalizing databases
5. You’ll ensure cross-platform optimization for web and mobile phones.
6. You’ll proactively ensure responsiveness of applications.
Immediate joiners are preferred. 0 - 30 days too can apply.
Location: Remote for now. However, expected to work from our Hyderabad office down the line.
Work timings: 3 pm - 12 am Indian Standard Time
Experience and expectations:
2 - 15 years of overall experience that includes at least 2 years of experience as Salesforce developer in translating business requirements into working solutions using Salesforce.com
Working knowledge of lightning. Aura is essential. LWC is desirable.
Exposure to at least one large enterprise Salesforce project
At least 1 salesforce certification is needed
Expertise in batch, queueable and scheduled jobs, future methods, Apex, Visual Force and triggers.
Strong in HTML, CSS, JavaScript
What we offer:
A chance to associate with a dynamic team of Seasoned Salesforce professionals(Ex - Deloitte,Amazon and Accenture)
An opportunity to be a part of winning team and grow exponentially.
- Oversee the sales process to attract new clients.
- Work with senior team members to identify and manage risks.
- Maintain fruitful relationships with clients and address their needs effectively.
- Research and identify new market opportunities.
- Prepare and deliver pitches to potential investors.
- Foster a collaborative environment within the organization
- Have architected /designed at least 2-3 systems/products of enterprise scale from scratch.
- Have banking and Financial service background and preferably worked in Mobile/Digital platform design and development. Payments /OLTP preferred.
- Should have experience of 20+ years with J2ee, REST, Microservice, API, Messaging, Encryption, security, NLP, ML background.
- Have 7+yrs of experience in Architecture field, designing and end to end not from consulting Architecture.
- Responsible for design, architecture, and delivery of a feature or component/product with the highest quality with high-level directions from architects
- Driving innovations in the platform constantly & remaining ahead of the curve
- Development and testing of features/functions delivered via applications and services.
- Prototype ideas quickly using cutting edge technologies.
- Collaborating with peers and Architects both within their team and across the organization to deliver end-to-end products & features
- Working with product managers using agile methodologies to deliver high quality solutions on time
- Provide functional, design, and code reviews in related areas of expertise with-in team and cross-team.
- Working with operations teams to ensure your applications and services are highly available and reliable
- Mentoring junior engineers in the team both in the technical as well as on the product side
- Define and devise processes, tools and methodologies to achieve excellence in software development, testing and deployment, and in the management of the Centre.
- Good experience in working with any of the programming languages like PHP, Python, Django, Golang, Java, C++
- Experience developing applications that use high volume of data along with experience building applications on top of RESTful APIs.
- Solid knowledge of JAVA, J2EE, data stream, processing, big data etc.
- Comfortable with writing unit tests using JUnit
- Worked with Git and are comfortable with Merge/Rebase concepts.
- Worked with tools such as Eclipse, WebStorm, Ant, Maven, Jenkins, Sonar, JSLint, Grunt and App Servers such as Tomcat, Jboss.
- Solid knowledge of algorithms, design patterns, and componentization approaches.
- Experience and knowledge of open source software, frameworks and broader cutting-edge technologies.
- Experience in software design patterns, problem solving and troubleshooting skills.
- Ability to determine impact of architectural solutions and recommendations.
- Must have experience in justification of technology solutions to business leaders.
- Experience in refactoring existing codebase and in understanding existing implementations to decide to refactor or rewrite.
- Know how to identify Performance bottlenecks and use good coding patterns to avoid them in the first place.
- Have strong attention to detail.
- Ability to operate effectively both independently as well and within a team using Agile methodology.
- Proven problem-solving and interpersonal communication skills.
- Knowledge of payment domain will be an added advantage
Qualifications
- BE/BTech/ME/MTech in EE/CS or an equivalent qualification.
- 20+yrs of Experience.
- Minimum 12+years of hands on Java programming experience.



