We are Still Hiring!!! Dear Candidate, This email is regarding open positions for Data Engineer Professionals with our organisation CRMNext. In case, you find the company profile and JD matching your aspirations and your profile matches the required Skill and qualifications criteria, please share your updated resume with response to questions. We shall reach you back for scheduling the interviews post this. About Company: Driven by a Passion for Excellence Acidaes Solutions Pvt. Ltd. is a fast growing specialist Customer Relationship Management (CRM) product IT company providing ultra-scalable CRM solutions. It offers CRMNEXT, our flagship and award winning CRM platform to leading enterprises both on cloud as well as on-premise models. We consistently focus on using the state of art technology solutions to provide leading product capabilities to our customers. CRMNEXT is a global cloud CRM solution provider credited with the world's largest installation ever. From Fortune 500 to start-ups, businesses across nine verticals have built profitable customer relationships via CRMNEXT. A pioneer of Digital CRM for some of the largest enterprises across Asia-Pacific, CRMNEXT's customers include global brands like Pfizer, HDFC Bank, ICICI Bank, Axis Bank, Tata AIA, Reliance, National Bank of Oman, Pavers England etc. It was recently lauded in the Gartner Magic Quadrant 2015 for Lead management, Sales Force Automation and Customer Engagement. For more information, visit us at www.crmnext.com Educational Qualification: B.E./B.Tech /M.E./ M.Tech/ MCA with (Bsc.IT/Bsc. Comp/BCA is mandatory) 60% in Xth, XIIth /diploma, B.E./B.Tech/M.E/M.Tech/ MCA with (Bsc.IT/Bsc. Comp/BCA is mandatory) All education should be regular (Please Note - Degrees through Distance learning/correspondence will not consider) Exp level- 2 to 5 yrs Location-Andheri (Mumbai) Technical expertise required: 1)Analytics experience in the BFSI domain is must 2) Hands on technical experience in python, big data and AI 3) Understanding of datamodels and analytical concepts 4) Client engagement : Should have run in past client engagements for Big data/ AI projects starting from requirement gathering, to planning development sprints, and delivery Should have experience in deploying big data and AI projects First hand experience on data governance, data quality, customer data models, industry data models Aware of SDLC. Regards,Deepak SharmaHR Team
Data AnalystReporting to Head of Analytics, you are someone who excels at crunching data and using it for generating business insights. As a data-loving member of the team, you will serve as an analytics expert and help the company’s leaders make better decisions.Job Responsibilities:• Develop and automate reports, iteratively build and prototype dashboards to provide insights for solving the company’s analytical needs• Help answer specific business questions by writing a clear, usable project plan and executing with minimal guidance• Support maintenance and up-gradation of an end-to-end Analytics Platforms that connects data systems and business intelligence (BI) systems• Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, and insights• Research and analyze key business drivers, trends and operating metricsRequired Qualifications: • BS Degree in a quantitative discipline (e.g. computer science, mathematics, statistics, economics)• 3 plus years of relevant experience in analytics at a tech / SaaS / consulting company• Extensive experience with articulating business questions, pulling data from datasets (SQL) and using new age BI tools (e.g. Tableau, Data Studio) to arrive at an answer• Demonstrated understanding of statistical modeling techniques; ability to effectively influence and communicate cross-functionally across all levels• Ability to consistently deliver quality outputs in a fast-paced environment, while working with tight deadlines• Extremely well-organized and capable of handling multiple projects and ad-hoc requests simultaneously
The Candidate should be have: - good understanding of Statistical concepts - worked on Data Analysis and Model building for 1 year - ability to implement Data warehouse and Visualisation tools (IBM, Amazon or Tableau) - use of ETL tools - understanding of scoring models The candidate will be required: - to build models for approval or rejection of loans - build various reports (standard for monthly reporting) to optimise business - implement datawarehosue The candidate should be self-starter as well as work without supervision. You will be the 1st and only employee for this role for the next 6 months.
1 to 3 years of experience in product analytics - Highly conversant with Google Analytics and other similar tools - Basic programming ability(preferably R or Python)
Primary Skills : - B.Tech/MS/PhD degree in Computer Science, Computer Engineering or related technical discipline with 3-4 years of industry experience in Data Science. - Proven experience of working on unstructured and textual data. Deep understanding and expertise of NLP techniques (POS tagging, NER, Semantic role labelling etc). - Experience working with some of the supervised/unsupervised learning ML models such as linear/logistic regression, clustering, support vector machines (SVM), neural networks, Random Forest, CRF, Bayesian models etc. The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some. - Strong coding experience in Python, R and Apache Spark. Python Skills are mandatory. - Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc. - Experience of working with Elastic search is a plus. - Experience of working on Microsoft Azure is a plus although not mandatory. - Basic knowledge of Linux and related scripting like Bash/shell script. Role Description (Roles & Responsibilities) : - Candidate will research, design and implement state-of-the-art ML systems using predictive modelling, deep learning, natural language processing and other ML techniques to help meeting business objectives. - Candidate will work closely with the product development/Engineering team to develop solutions for complex business problems or product features. - Handle Big Data scale for training and deploying ML/NLP based business modules/chatbots.