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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
Role : Web Scraping Engineer
Experience : 2 to 3 Years
Job Location : Chennai
About OJ Commerce:
OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention.
Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories. With a robust presence on major platforms such as Amazon, Walmart, Wayfair, Home Depot, and eBay, we directly serve consumers in the United States.
As we continue to forge new partner relationships, our flagship website, www.ojcommerce.com, has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually.
Job Summary:
We are seeking a Web Scraping Engineer and Data Extraction Specialist who will play a crucial role in our data acquisition and management processes. The ideal candidate will be proficient in developing and maintaining efficient web crawlers capable of extracting data from large websites and storing it in a database. Strong expertise in Python, web crawling, and data extraction, along with familiarity with popular crawling tools and modules, is essential. Additionally, the candidate should demonstrate the ability to effectively utilize API tools for testing and retrieving data from various sources. Join our team and contribute to our data-driven success!
Responsibilities:
- Develop and maintain web crawlers in Python.
- Crawl large websites and extract data.
- Store data in a database.
- Analyze and report on data.
- Work with other engineers to develop and improve our web crawling infrastructure.
- Stay up to date on the latest crawling tools and techniques.
Required Skills and Qualifications:
- Bachelor's degree in computer science or a related field.
- 2-3 years of experience with Python and web crawling.
- Familiarity with tools / modules such as
- Scrapy, Selenium, Requests, Beautiful Soup etc.
- API tools such as Postman or equivalent.
- Working knowledge of SQL.
- Experience with web crawling and data extraction.
- Strong problem-solving and analytical skills.
- Ability to work independently and as part of a team.
- Excellent communication and documentation skills.
What we Offer
• Competitive salary
• Medical Benefits/Accident Cover
• Flexi Office Working Hours
• Fast paced start up
Analytics Job Description
We are hiring an Analytics Engineer to help drive our Business Intelligence efforts. You will
partner closely with leaders across the organization, working together to understand the how
and why of people, team and company challenges, workflows and culture. The team is
responsible for delivering data and insights that drive decision-making, execution, and
investments for our product initiatives.
You will work cross-functionally with product, marketing, sales, engineering, finance, and our
customer-facing teams enabling them with data and narratives about the customer journey.
You’ll also work closely with other data teams, such as data engineering and product analytics,
to ensure we are creating a strong data culture at Blend that enables our cross-functional partners
to be more data-informed.
Role : DataEngineer
Please find below the JD for the DataEngineer Role..
Location: Guindy,Chennai
How you’ll contribute:
• Develop objectives and metrics, ensure priorities are data-driven, and balance short-
term and long-term goals
• Develop deep analytical insights to inform and influence product roadmaps and
business decisions and help improve the consumer experience
• Work closely with GTM and supporting operations teams to author and develop core
data sets that empower analyses
• Deeply understand the business and proactively spot risks and opportunities
• Develop dashboards and define metrics that drive key business decisions
• Build and maintain scalable ETL pipelines via solutions such as Fivetran, Hightouch,
and Workato
• Design our Analytics and Business Intelligence architecture, assessing and
implementing new technologies that fitting
• Work with our engineering teams to continually make our data pipelines and tooling
more resilient
Who you are:
• Bachelor’s degree or equivalent required from an accredited institution with a
quantitative focus such as Economics, Operations Research, Statistics, Computer Science OR 1-3 Years of Experience as a Data Analyst, Data Engineer, Data Scientist
• Must have strong SQL and data modeling skills, with experience applying skills to
thoughtfully create data models in a warehouse environment.
• A proven track record of using analysis to drive key decisions and influence change
• Strong storyteller and ability to communicate effectively with managers and
executives
• Demonstrated ability to define metrics for product areas, understand the right
questions to ask and push back on stakeholders in the face of ambiguous, complex
problems, and work with diverse teams with different goals
• A passion for documentation.
• A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a
dynamic environment.
• A bias towards communication and collaboration with business and technical
stakeholders.
• Quantitative rigor and systems thinking.
• Prior startup experience is preferred, but not required.
• Interest or experience in machine learning techniques (such as clustering, decision
tree, and segmentation)
• Familiarity with a scientific computing language, such as Python, for data wrangling
and statistical analysis
• Experience with a SQL focused data transformation framework such as dbt
• Experience with a Business Intelligence Tool such as Mode/Tableau
Mandatory Skillset:
-Very Strong in SQL
-Spark OR pyspark OR Python
-Shell Scripting
About the company:
VakilSearch is a technology-driven platform, offering services that cover the legal needs of startups and established businesses. Some of our services include incorporation, government registrations & filings, accounting, documentation and annual compliances. In addition, we offer a wide range of services to individuals, such as property agreements and tax filings. Our mission is to provide one-click access to individuals and businesses for all their legal and professional needs.
You can learn more about us at https://vakilsearch.com/">vakilsearch.com.
About the role:
A successful data analyst needs to have a combination of technical as well leadership skills. A background in Mathematics, Statistics, Computer Science, Information Management can serve as a solid foundation to build your career as a data analyst at VakilSearch.
Why to join Vakilsearch:
- Unlimited opportunities to grow
- Flat hierarchy
- Encouraging environment to unleash your out of box thinking skills
Responsibilities:
- Preparing reports for the stakeholders and the management, enabling them to take important decisions based on various facts and trends.
- Using automated tools to extract data from primary and secondary sources
- Identify and recommend the right product metrics to be analysed and tracked for every feature/problem statement.
- Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
- Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
Required skills:
- Bachelor’s degree from an accredited university or college in computer science or graduate from data science related program
- Minimum of 0 - 2 years experience in analysing
- Proficient with SQL Server/T-SQL programming in creation and optimization of complex Stored Procedures, UDF, CTE and Triggers
- Overall Experience should be between 4 to 7 years
- Experience working in a data warehouse environment and a strong understanding of dimensional data modeling concepts. Experience in SQL server, DW principles and SSIS.
- Should have strong experience in building data transformations with SSIS including importing data from files, and moving data from source to destination.
- Creating new SSIS packages or modifying existing SSIS packages using SQL server
- Debug and fine-tune SSIS processes to ensure accurate and efficient movement of data. Experience with ETL testing & data validation.
- 1+ years of experience with Azure services like Azure Data Factory, Data flow, Azure blob Storage, etc.
- 1+ years of experience with developing Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime.
- Must be able to build Business Intelligence solutions in a collaborative, agile development environment.
- Reporting experience with Power BI or SSRS is a plus.
- Experience working on an Agile/Scrum team preferred.
- Proven strong problem-solving skills, troubleshooting, and root cause analysis.
- Excellent written and verbal communication skills.
GCP Data Analyst profile must have below skills sets :
- Knowledge of programming languages like https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Ftutorials%2Fsql-tutorial%2Fhow-to-become-sql-developer&data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=EImfaJAD1KHOyrBQ7FkbaPl1STtfnf4QdQlbjw72%2BmE%3D&reserved=0" target="_blank">SQL, Oracle, R, MATLAB, Java and https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Fwhy-learn-python-a-guide-to-unlock-your-python-career-article&data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Z2n1Xy%2F3YN6nQqSweU5T7EfUTa1kPAAjbCMTWxDCh%2FY%3D&reserved=0" target="_blank">Python
- Data cleansing, data visualization, data wrangling
- Data modeling , data warehouse concepts
- Adapt to Big data platform like Hadoop, Spark for stream & batch processing
- GCP (Cloud Dataproc, Cloud Dataflow, Cloud Datalab, Cloud Dataprep, BigQuery, Cloud Datastore, Cloud Datafusion, Auto ML etc)
Work Location : Chennai
Experience Level : 5+yrs
Package : Upto 18 LPA
Notice Period : Immediate Joiners
It's a full-time opportunity with our client.
Mandatory Skills:Machine Learning,Python,Tableau & SQL
Job Requirements:
--2+ years of industry experience in predictive modeling, data science, and Analysis.
--Experience with ML models including but not limited to Regression, Random Forests, XGBoost.
--Experience in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models.
--Experience writing code in Python and SQL with documentation for reproducibility.
--Strong Proficiency in Tableau.
--Experience handling big datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL.
--Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.
--AWS Sagemaker experience is a plus not required.
Key Responsibilities:
- Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
- Good understanding of the underlying business and workings of cross functional teams for successful execution
- Design and develop analyses based on business requirement needs and challenges.
- Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
- Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
- Identify and use appropriate investigative and analytical technologies to interpret and verify results.
- Apply and learn a wide variety of tools and languages to achieve results
- Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
- Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
- Innovate on projects by using new modeling techniques or tools.
- Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
- Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.
Skills:
- 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
- Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
- Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
- Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
- Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
- Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
- Experience in risk and credit scoring domains preferred