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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
Your Day-to-Day
- Derive Insights and drive major strategic projects to improve Business Metrics and take responsibility for cost efficiency and Revenue management across the country
- Perform Market research, Post Mortem analyses on competitor expansion and Market Penetration patterns.
- Provide in-depth business analysis and data insights for internal stakeholders to help improve business. Derive and launch projects in order to reduce the gaps between targeted and projected business metrics
- Responsible for optimizing Carsome’s C2B and B2C customer acquisition and Dealer retention funnel. Work closely with Marketing and Tech teams to create, produce and implement creative digital marketing campaigns and drive CRM initiatives and strategies
- Analyse the Revenue flows and processes large datasets to gather process insights and propose process improvement ideas for Carsome across SE-Asia
- Lead commercial projects & process mapping, from conceptualization to completion, to build or re-engineer business models, tools and processes.
- Having experience in analyses and insights in dealing on Unit Economics, COGs and P&L will be preferred ,but not mandatory
- Use Business Intelligence and Data Science tools to answer the appropriate business problems using SQL, Tableau or Python.
- Coordinate with HQ Data Insights Team and manage internal stakeholders across departments to ensure the smooth delivery of strategic projects
- Work across different departments/functions (BI,DE, tech, pricing, finance, operations, marketing, CS,CX) and also on high impact projects and support business expansion initiatives
Your Know-Know
- At least a Bachelor's Degree in Accounting/Finance/Business or the equivalent.
- 3-5 years of experience in strategy / consulting / analytical / project management roles; experience in e-commerce, Start-ups or Unicorns(CARS24,OLA,SWIGGY,FLIPKART,OYO) or entrepreneur experience preferred + At Least 2 years of experience leading a team
- Top-notch academics from a Tier 1 college (IIM / IIT/ NIT)
- Must have SQL/PostgreSQL/Tableau Experience.
- Excellent Market Research, reporting and analytical skills, including carrying out weekly and monthly reporting
- Holds experience in working with Data/Business Intelligence Team
- Analytical mindset with ability to present data in a structured and informative way
- Enjoy a fast-paced environment and can align business objectives with product priorities
- Good to have : Financial modelling, Developing financial forecasts , development of Financial - strategic plan/framework
Data Engineer- Senior
Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.
What are you going to do?
Design & Develop high performance and scalable solutions that meet the needs of our customers.
Closely work with the Product Management, Architects and cross functional teams.
Build and deploy large-scale systems in Java/Python.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Create data tools for analytics and data scientist team members that assist them in building and optimizing their algorithms.
Follow best practices that can be adopted in Bigdata stack.
Use your engineering experience and technical skills to drive the features and mentor the engineers.
What are we looking for ( Competencies) :
Bachelor’s degree in computer science, computer engineering, or related technical discipline.
Overall 5 to 8 years of programming experience in Java, Python including object-oriented design.
Data handling frameworks: Should have a working knowledge of one or more data handling frameworks like- Hive, Spark, Storm, Flink, Beam, Airflow, Nifi etc.
Data Infrastructure: Should have experience in building, deploying and maintaining applications on popular cloud infrastructure like AWS, GCP etc.
Data Store: Must have expertise in one of general-purpose No-SQL data stores like Elasticsearch, MongoDB, Redis, RedShift, etc.
Strong sense of ownership, focus on quality, responsiveness, efficiency, and innovation.
Ability to work with distributed teams in a collaborative and productive manner.
Benefits:
Competitive Salary Packages and benefits.
Collaborative, lively and an upbeat work environment with young professionals.
Job Category: Development
Job Type: Full Time
Job Location: Bangalore
Job Details:-
Designation - Data Scientist
Urgently required. (NP of maximum 15 days)
Location:- Mumbai
Experience:- 5-7 years.
Package Offered:- Rs.5,00,000/- to Rs.9,00,000/- pa.
Data Scientist
Job Description:-
Responsibilities:
- Identify valuable data sources and automate collection processes
- Undertake preprocessing 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 Data Scientist or Data Analyst
- Experience in data mining
- Understanding of machine-learning and operations research
- Knowledge of R, SQL and Python; familiarity with Scala, Java is an asset
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
We are looking for a skilled Senior/Lead Bigdata Engineer to join our team. The role is part of the research and development team, where you with enthusiasm and knowledge are going to be our technical evangelist for the development of our inspection technology and products.
At Elop we are developing product lines for sustainable infrastructure management using our own patented technology for ultrasound scanners and combine this with other sources to see holistic overview of the concrete structure. At Elop we will provide you with world-class colleagues highly motivated to position the company as an international standard of structural health monitoring. With the right character you will be professionally challenged and developed.
This position requires travel to Norway.
Elop is sister company of Simplifai and co-located together in all geographic locations.
Roles and Responsibilities
- Define technical scope and objectives through research and participation in requirements gathering and definition of processes
- Ingest and Process data from data sources (Elop Scanner) in raw format into Big Data ecosystem
- Realtime data feed processing using Big Data ecosystem
- Design, review, implement and optimize data transformation processes in Big Data ecosystem
- Test and prototype new data integration/processing tools, techniques and methodologies
- Conversion of MATLAB code into Python/C/C++.
- Participate in overall test planning for the application integrations, functional areas and projects.
- Work with cross functional teams in an Agile/Scrum environment to ensure a quality product is delivered.
Desired Candidate Profile
- Bachelor's degree in Statistics, Computer or equivalent
- 7+ years of experience in Big Data ecosystem, especially Spark, Kafka, Hadoop, HBase.
- 7+ years of hands-on experience in Python/Scala is a must.
- Experience in architecting the big data application is needed.
- Excellent analytical and problem solving skills
- Strong understanding of data analytics and data visualization, and must be able to help development team with visualization of data.
- Experience with signal processing is plus.
- Experience in working on client server architecture is plus.
- Knowledge about database technologies like RDBMS, Graph DB, Document DB, Apache Cassandra, OpenTSDB
- Good communication skills, written and oral, in English
We can Offer
- An everyday life with exciting and challenging tasks with the development of socially beneficial solutions
- Be a part of companys research and Development team to create unique and innovative products
- Colleagues with world-class expertise, and an organization that has ambitions and is highly motivated to position the company as an international player in maintenance support and monitoring of critical infrastructure!
- Good working environment with skilled and committed colleagues an organization with short decision paths.
- Professional challenges and development
Location - Remote till covid ( Hyderabad Stacknexus office post covid)
Experience - 5 - 7 years
Skills Required - Should have hands-on experience in Azure Data Modelling, Python, SQL and Azure Data bricks.
Notice period - Immediate to 15 days
Role Summary
We Are looking for an analytically inclined, Insights Driven Product Analyst to make our organisation more data driven. In this role you will be responsible for creating dashboards to drive insights for product and business teams. Be it Day to Day decisions as well as long term impact assessment, Measuring the Efficacy of different products or certain teams, You'll be Empowering each of them. The growing nature of the team will require you to be in touch with all of the teams at upgrad. Are you the "Go-To" person everyone looks at for getting Data, Then this role is for you.
Roles & Responsibilities
- Lead and own the analysis of highly complex data sources, identifying trends and patterns in data and provide insights/recommendations based on analysis results
- Build, maintain, own and communicate detailed reports to assist Marketing, Growth/Learning Experience and Other Business/Executive Teams
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Analyze data and generate insights in the form of user analysis, user segmentation, performance reports, etc.
- Facilitate review sessions with management, business users and other team members
- Design and create visualizations to present actionable insights related to data sets and business questions at hand
- Develop intelligent models around channel performance, user profiling, and personalization
Skills Required
- Having 4-6 yrs hands-on experience with Product related analytics and reporting
- Experience with building dashboards in Tableau or other data visualization tools such as D3
- Strong data, statistics, and analytical skills with a good grasp of SQL.
- Programming experience in Python is must
- Comfortable managing large data sets
- Good Excel/data management skills
Responsibilities
- Installing and configuring Informatica components, including high availability; managing server activations and de-activations for all environments; ensuring that all systems and procedures adhere to organizational best practices
- Day to day administration of the Informatica Suite of services (PowerCenter, IDS, Metadata, Glossary and Analyst).
- Informatica capacity planning and on-going monitoring (e.g. CPU, Memory, etc.) to proactively increase capacity as needed.
- Manage backup and security of Data Integration Infrastructure.
- Design, develop, and maintain all data warehouse, data marts, and ETL functions for the organization as a part of an infrastructure team.
- Consult with users, management, vendors, and technicians to assess computing needs and system requirements.
- Develop and interpret organizational goals, policies, and procedures.
- Evaluate the organization's technology use and needs and recommend improvements, such as software upgrades.
- Prepare and review operational reports or project progress reports.
- Assist in the daily operations of the Architecture Team , analyzing workflow, establishing priorities, developing standards, and setting deadlines.
- Work with vendors to manage support SLA’s and influence vendor product roadmap
- Provide leadership and guidance in technical meetings, define standards and assist/provide status updates
- Work with cross functional operations teams such as systems, storage and network to design technology stacks.
Preferred Qualifications
- Minimum 6+ years’ experience as Informatica Engineer and Developer role
- Minimum of 5+ years’ experience in an ETL environment as a developer.
- Minimum of 5+ years of experience in SQL coding and understanding of databases
- Proficiency in Python
- Proficiency in command line troubleshooting
- Proficiency in writing code in Perl/Shell scripting languages
- Understanding of Java and concepts of Object-oriented programming
- Good understanding of systems, networking, and storage
- Strong knowledge of scalability and high availability