Title:- Data Scientist
Experience:-6 years
Work Mode:- Onsite
Primary Skills:- Data Science, SQL, Python, Data Modelling, Azure, AWS, Banking Domain (BFSI/NBFC)
Qualification:- Any
Roles & Responsibilities:-
1. Acquiring, cleaning, and preprocessing raw data for analysis.
2. Utilizing statistical methods and tools for analyzing and interpreting complex datasets.
3. Developing and implementing machine learning models for predictive analysis.
4. Creating visualizations to effectively communicate insights to both technical and non-technical stakeholders.
5. Collaborating with cross-functional teams, including data engineers, business analysts, and domain experts.
6. Evaluating and optimizing the performance of machine learning models for accuracy and efficiency.
7. Identifying patterns and trends within data to inform business decision-making.
8. Staying updated on the latest advancements in data science, machine learning, and relevant technologies.
Requirement:-
1. Experience with modeling techniques such as Linear Regression, clustering, and classification techniques.
2. Must have a passion for data, structured or unstructured. 0.6 – 5 years of hands-on experience with Python and SQL is a must.
3. Should have sound experience in data mining, data analysis and machine learning techniques.
4. Excellent critical thinking, verbal and written communications skills.
5. Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.
6. Good presentation skills.
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B1 – Data Scientist - Kofax Accredited Developers
Requirement – 3
Mandatory –
- Accreditation of Kofax KTA / KTM
- Experience in Kofax Total Agility Development – 2-3 years minimum
- Ability to develop and translate functional requirements to design
- Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
- Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
- Application development using Kofax and KTM modules
- Good/Advance understanding of Machine Learning /NLP/ Statistics
- Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
- Excellent communication skills and collaborative attitude
- Work with multiple teams and stakeholders within like Analytics, RPA, Technology and Project management teams
- Good understanding of compliance, data governance and risk control processes
Total Experience – 7-10 Years in BPO/KPO/ ITES/BFSI/Retail/Travel/Utilities/Service Industry
Good to have
- Previous experience of working on Agile & Hybrid delivery environment
- Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services
Qualification -
- Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA
1. ROLE AND RESPONSIBILITIES
1.1. Implement next generation intelligent data platform solutions that help build high performance distributed systems.
1.2. Proactively diagnose problems and envisage long term life of the product focusing on reusable, extensible components.
1.3. Ensure agile delivery processes.
1.4. Work collaboratively with stake holders including product and engineering teams.
1.5. Build best-practices in the engineering team.
2. PRIMARY SKILL REQUIRED
2.1. Having a 2-6 years of core software product development experience.
2.2. Experience of working with data-intensive projects, with a variety of technology stacks including different programming languages (Java,
Python, Scala)
2.3. Experience in building infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data
sources to support other teams to run pipelines/jobs/reports etc.
2.4. Experience in Open-source stack
2.5. Experiences of working with RDBMS databases, NoSQL Databases
2.6. Knowledge of enterprise data lakes, data analytics, reporting, in-memory data handling, etc.
2.7. Have core computer science academic background
2.8. Aspire to continue to pursue career in technical stream
3. Optional Skill Required:
3.1. Understanding of Big Data technologies and Machine learning/Deep learning
3.2. Understanding of diverse set of databases like MongoDB, Cassandra, Redshift, Postgres, etc.
3.3. Understanding of Cloud Platform: AWS, Azure, GCP, etc.
3.4. Experience in BFSI domain is a plus.
4. PREFERRED SKILLS
4.1. A Startup mentality: comfort with ambiguity, a willingness to test, learn and improve rapidl
- The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Roles & Responsibilities
- Experience using statistical languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Looking for someone with 3-7 years of experience manipulating data sets and building statistical models
- Has a Bachelor's, Master's in Computer Science or another quantitative field
- Knowledge and experience in statistical and data mining techniques :
- GLM/Regression, Random Forest, Boosting, Trees, text mining,social network analysis, etc.
- Experience querying databases and using statistical computer languages :R, Python, SQL, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees,neural networks, etc.
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
- Analyze and organize raw data
- Build data systems and pipelines
- Evaluate business needs and objectives
- Interpret trends and patterns
- Conduct complex data analysis and report on results
- Build algorithms and prototypes
- Combine raw information from different sources
- Explore ways to enhance data quality and reliability
- Identify opportunities for data acquisition
- Should have experience in Python, Django Micro Service Senior developer with Financial Services/Investment Banking background.
- Develop analytical tools and programs
- Collaborate with data scientists and architects on several projects
- Should have 5+ years of experience as a data engineer or in a similar role
- Technical expertise with data models, data mining, and segmentation techniques
- Should have experience programming languages such as Python
- Hands-on experience with SQL database design
- Great numerical and analytical skills
- Degree in Computer Science, IT, or similar field; a Master’s is a plus
- Data engineering certification (e.g. IBM Certified Data Engineer) is a plus
Senior Product Analyst
Pampers Start Up Team
India / Remote Working
Team Description
Our internal team focuses on App Development with data a growing area within the structure. We have a clear vision and strategy which is coupled up with App Development, Data, Testing, Solutions and Operations. The data team sits across the UK and India whilst other teams sit across Dubai, Lebanon, Karachi and various cities in India.
Role Description
In this role you will use a range of tools and technologies to primarily working on providing data design, data governance, reporting and analytics on the Pampers App.
This is a unique opportunity for an ambitious candidate to join a growing business where they will get exposure to a diverse set of assignments, can contribute fully to the growth of the business and where there are no limits to career progression and reward.
Responsibilities
● To be the Data Steward and drive governance having full understanding of all the data that flows through the Apps to all systems
● Work with the campaign team to do data fixes when issues with campaigns
● Investigate and troubleshoot issues with product and campaigns giving clear RCA and impact analysis
● Document data, create data dictionaries and be the “go to” person in understanding what data flows
● Build dashboards and reports using Amplitude, Power BI and present to the key stakeholders
● Carry out adhoc data investigations into issues with the app and present findings back querying data in BigQuery/SQL/CosmosDB
● Translate analytics into a clear powerpoint deck with actionable insights
● Write up clear documentation on processes
● Innovate with new processes or ways of providing analytics and reporting
● Help the data lead to find new ways of adding value
Requirements
● Bachelor’s degree and a minimum of 4+ years’ experience in an analytical role preferably working in product analytics with consumer app data
● Strong SQL Server and Power BI required
● You have experience with most or all of these tools – SQL Server, Python, Power BI, BigQuery.
● Understanding of mobile app data (Events, CTAs, Screen Views etc)
● Knowledge of data architecture and ETL
● Experience in analyzing customer behavior and providing insightful recommendations
● Self-starter, with a keen interest in technology and highly motivated towards success
● Must be proactive and be prepared to address meetings
● Must show initiative and desire to learn business subjects
● Able to work independently and provide updates to management
● Strong analytical and problem-solving capabilities with meticulous attention to detail
● Excellent problem-solving skills; proven teamwork and communication skills
● Experience working in a fast paced “start-up like” environment
Desirable
- Knowledge of mobile analytical tools (Segment, Amplitude, Adjust, Braze and Google Analytics)
- Knowledge of loyalty data
Develop complex queries, pipelines and software programs to solve analytics and data mining problems
Interact with other data scientists, product managers, and engineers to understand business problems, technical requirements to deliver predictive and smart data solutions
Prototype new applications or data systems
Lead data investigations to troubleshoot data issues that arise along the data pipelines
Collaborate with different product owners to incorporate data science solutions
Maintain and improve data science platform
Must Have
BS/MS/PhD in Computer Science, Electrical Engineering or related disciplines
Strong fundamentals: data structures, algorithms, database
5+ years of software industry experience with 2+ years in analytics, data mining, and/or data warehouse
Fluency with Python
Experience developing web services using REST approaches.
Proficiency with SQL/Unix/Shell
Experience in DevOps (CI/CD, Docker, Kubernetes)
Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multi-task and manage expectations
Preferred
Industry experience with big data processing technologies such as Spark and Kafka
Experience with machine learning algorithms and/or R a plus
Experience in Java/Scala a plus
Experience with any MPP analytics engines like Vertica
Experience with data integration tools like Pentaho/SAP Analytics Cloud
About the Company:
It is a Data as a Service company that helps businesses harness the power of data. Our technology fuels some of the most interesting big data projects of the word. We are a small bunch of people working towards shaping the imminent data-driven future by solving some of its fundamental and toughest challenges.
Role: We are looking for an experienced team lead to drive data acquisition projects end to end. In this role, you will be working in the web scraping team with data engineers, helping them solve complex web problems and mentor them along the way. You’ll be adept at delivering large-scale web crawling projects, breaking down barriers for your team and planning at a higher level, and getting into the detail to make things happen when needed.
Responsibilities
- Interface with clients and sales team to translate functional requirements into technical requirements
- Plan and estimate tasks with your team, in collaboration with the delivery managers
- Engineer complex data acquisition projects
- Guide and mentor your team of engineers
- Anticipate issues that might arise and proactively consider those into design
- Perform code reviews and suggest design changes
Prerequisites
- Between 5-8 years of relevant experience
- Fluent programming skills and well-versed with scripting languages like Python or Ruby
- Solid foundation in data structures and algorithms
- Excellent tech troubleshooting skills
- Good understanding of web data landscape
- Prior exposure to DOM, XPATH and hands on experience with selenium/automated testing is a plus
Skills and competencies
- Prior experience with team handling and people management is mandatory
- Work independently with little to no supervision
- Extremely high attention to detail
- Ability to juggle between multiple projects
JD:
Required Skills:
- Intermediate to Expert level hands-on programming using one of programming language- Java or Python or Pyspark or Scala.
- Strong practical knowledge of SQL.
Hands on experience on Spark/SparkSQL - Data Structure and Algorithms
- Hands-on experience as an individual contributor in Design, Development, Testing and Deployment of Big Data technologies based applications
- Experience in Big Data application tools, such as Hadoop, MapReduce, Spark, etc
- Experience on NoSQL Databases like HBase, etc
- Experience with Linux OS environment (Shell script, AWK, SED)
- Intermediate RDBMS skill, able to write SQL query with complex relation on top of big RDMS (100+ table)