11+ Statistical semantics Jobs in India
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- Understand the business drivers and analytical use-cases.
- Translate use cases to data models, descriptive, analytical, predictive, and engineering outcomes.
- Explore new technologies and learn new techniques to solve business problems creatively
- Think big! and drive the strategy for better data quality for the customers.
- Become the voice of business within engineering and of engineering within the business with customers.
- Collaborate with many teams - engineering and business, to build better data products and services
- Deliver the projects along with the team collaboratively and manage updates to customers on time
What we're looking for :
- Hands-on experience in data modeling, data visualization, and pipeline design and development
- Hands-on exposure to Machine learning concepts like supervised learning, unsupervised learning, RNN, DNN.
- Prior experience working with business stakeholders, in an enterprise space is a plus
- Great communication skills. You should be able to directly communicate with senior business leaders, embed yourself with business teams, and present solutions to business stakeholders
- Experience in working independently and driving projects end to end, strong analytical skills.
a global provider of Business Process Management company
Desired Competencies:
Ø Expertise in Azure Data Factory V2
Ø Expertise in other Azure components like Data lake Store, SQL Database, Databricks
Ø Must have working knowledge of spark programming
Ø Good exposure to Data Projects dealing with Data Design and Source to Target documentation including defining transformation rules
Ø Strong knowledge of CICD Process
Ø Experience in building power BI reports
Ø Understanding of different components like Pipelines, activities, datasets & linked services
Ø Exposure to dynamic configuration of pipelines using data sets and linked Services
Ø Experience in designing, developing and deploying pipelines to higher environments
Ø Good knowledge on File formats for flexible usage, File location Objects (SFTP, FTP, local, HDFS, ADLS, BLOB, Amazon S3 etc.)
Ø Strong knowledge in SQL queries
Ø Must have worked in full life-cycle development from functional design to deployment
Ø Should have working knowledge of GIT, SVN
Ø Good experience in establishing connection with heterogeneous sources like Hadoop, Hive, Amazon, Azure, Salesforce, SAP, HANA, API’s, various Databases etc.
Ø Should have working knowledge of different resources available in Azure like Storage Account, Synapse, Azure SQL Server, Azure Data Bricks, Azure Purview
Ø Any experience related to metadata management, data modelling, and related tools (Erwin or ER Studio or others) would be preferred
Preferred Qualifications:
Ø Bachelor's degree in Computer Science or Technology
Ø Proven success in contributing to a team-oriented environment
Ø Proven ability to work creatively and analytically in a problem-solving environment
Ø Excellent communication (written and oral) and interpersonal skills
Qualifications
BE/BTECH
KEY RESPONSIBILITIES :
You will join a team designing and building a data warehouse covering both relational and dimensional models, developing reports, data marts and other extracts and delivering these via SSIS, SSRS, SSAS, and PowerBI. It is seen as playing a vital role in delivering a single version of the truth on Client’s data and delivering MI & BI that will feature in enabling both operational and strategic decision making. You will be able to take responsibility for projects over the entire software lifecycle and work with minimum supervision. This would include technical analysis, design, development, and test support as well as managing the delivery to production. The initial project being resourced is around the development and implementation of a Data Warehouse and associated MI/BI functions. |
Principal Activities: 1. Interpret written business requirements documents 2. Specify (High Level Design and Tech Spec), code and write automated unit tests for new aspects of MI/BI Service. 3. Write clear and concise supporting documentation for deliverable items. 4. Become a member of the skilled development team willing to contribute and share experiences and learn as appropriate. 5. Review and contribute to requirements documentation. 6. Provide third line support for internally developed software. 7. Create and maintain continuous deployment pipelines. 8. Help maintain Development Team standards and principles. 9. Contribute and share learning and experiences with the greater Development team. 10. Work within the company’s approved processes, including design and service transition. 11. Collaborate with other teams and departments across the firm. 12. Be willing to travel to other offices when required. |
Location – Bangalore
Role : Senior Customer Scientist
Experience : 6-8 Years
Location : Chennai (Hybrid)
Who are we?
A young, fast-growing AI and big data company, with an ambitious vision to simplify the world’s choices. Our clients are top-tier enterprises in the banking, e-commerce and travel spaces. They use our core AI-based choice engine http://maya.ai/">maya.ai, to deliver personal digital experiences centered around taste. The http://maya.ai/">maya.ai platform now touches over 125M customers globally. You’ll find Crayon Boxes in Chennai and Singapore. But you’ll find Crayons in every corner of the world. Especially where our client projects are – UAE, India, SE Asia and pretty soon the US.
Life in the Crayon Box is a little chaotic, largely dynamic and keeps us on our toes! Crayons are a diverse and passionate bunch. Challenges excite us. Our mission drives us. And good food, caffeine (for the most part) and youthful energy fuel us. Over the last year alone, Crayon has seen a growth rate of 3x, and we believe this is just the start.
We’re looking for young and young-at-heart professionals with a relentless drive to help Crayon double its growth. Leaders, doers, innovators, dreamers, implementers and eccentric visionaries, we have a place for you all.
Can you say “Yes, I have!” to the below?
- Experience with exploratory analysis, statistical analysis, and model development
- Knowledge of advanced analytics techniques, including Predictive Modelling (Logistic regression), segmentation, forecasting, data mining, and optimizations
- Knowledge of software packages such as SAS, R, Rapidminer for analytical modelling and data management.
- Strong experience in SQL/ Python/R working efficiently at scale with large data sets
- Experience in using Business Intelligence tools such as PowerBI, Tableau, Metabase for business applications
Can you say “Yes, I will!” to the below?
- Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modelling, coding, analytics) to drive business insight and facilitate decisions.
- Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation, and work with engineering to deploy those algorithms and create impact in production.
- Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends
- Coordinate individual teams to fulfil client requirements and manage deliverable
- Communicate and present complex concepts to business audiences
- Travel to client locations when necessary
Crayon is an equal opportunity employer. Employment is based on a person's merit and qualifications and professional competences. Crayon does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related.
More about Crayon: https://www.crayondata.com/">https://www.crayondata.com/
More about http://maya.ai/">maya.ai: https://maya.ai/">https://maya.ai/
In this role, you will:
As part of a team focused on the preserving the customer experience across the organization, this Analytic Consultant will be responsible for:
- Understand business objectives and provide credible challenge to analysis requirements.
- Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases.
- Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve analysis accuracy.
- Applying critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality analysis results.
- Ensure adherence to data management/ data governance regulations and policies.
- Performing and testing highly complex data analytics for customer remediation.
- Designing analysis projects flow and documentation that is structured for consistency, easy to understand, and to be offered to multiple levels of reviewers, partners, and regulatory agents demonstrating research and analysis completed.
- Investigate and ensure data integrity from multiple sources.
- Ensure data recommended and used is the best “source of truth”.
- Applies knowledge of business, customers, and products to synthesize data to 'form a story' and align information to contrast/compare to industry perspective. Data involved typically very large, structured or unstructured, and from multiple sources.
- Must have a strong attention to detail and be able to meet high quality standards consistently.
- Other duties as assigned by manager.
- Willing to assist on high priority work outside of regular business hours or weekend as needed.
Essential Qualifications:
- Around 5+ years in similar analytics roles
- Bachelors, M.A./M.Sc. College Degree or Higher in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.
- Preferred programming knowledge SQL/SAS
- Knowledge of PVSI, Non-Lending, Student Loans, Small Business and Personal Lines and Loans is a plus.
- Strong experience with data integration, database structures and data warehouses.
- Persuasive written and verbal communication skills.
Desired Qualifications:
- Certifications in Data Science, or BI Reporting tools.
- Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment – Soft Skills.
- Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities.
- Ability to research and report on a variety of issues using problem solving skills.
- Ability to act with integrity and a high level of professionalism with all levels of team members and management.
- Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment.
- Ability to learn the business aspects quickly, multitask and prioritize between projects.
- Exhibits appropriate sense of urgency in managing responsibilities.
- Ability to accurately process high volumes of work within established deadlines.
- Available to flex schedule periodically based on business need.
- Demonstrate strong negotiation, communication & presentation skills.
- Demonstrates a high degree of reliability, integrity and trustworthiness.
- Takes ownership of assignments and helps drive assignments of the team.
- Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player.
- Be proactive and get engaged in organizational initiatives.
Work Timings:4:00PM to 11:30PM
Fulltime WFH
6+ Yrs in Data science
Strong Experience ML Regression, Classification, Anomaly detection, NLP, Deep learning, Predictive analytics, Predictive maintenance ,Python, Added advantage Data visualization
o Strong Python development skills, with 7+ yrs. experience with SQL.
o A bachelor or master’s degree in Computer Science or related areas
o 5+ years of experience in data integration and pipeline development
o Experience in Implementing Databricks Delta lake and data lake
o Expertise designing and implementing data pipelines using modern data engineering approach and tools: SQL, Python, Delta Lake, Databricks, Snowflake Spark
o Experience in working with multiple file formats (Parque, Avro, Delta Lake) & API
o experience with AWS Cloud on data integration with S3.
o Hands on Development experience with Python and/or Scala.
o Experience with SQL and NoSQL databases.
o Experience in using data modeling techniques and tools (focused on Dimensional design)
o Experience with micro-service architecture using Docker and Kubernetes
o Have experience working with one or more of the public cloud providers i.e. AWS, Azure or GCP
o Experience in effectively presenting and summarizing complex data to diverse audiences through visualizations and other means
o Excellent verbal and written communications skills and strong leadership capabilities
Skills:
ML
MOdelling
Python
SQL
Azure Data Lake, dataFactory, Databricks, Delta Lake