Python
Machine Learning (ML)Job Description
This requirement is to service our client which is a leading big data technology company that measures what viewers consume across platforms to enable marketers make better advertising decisions. We are seeking a Senior Data Operations Analyst to mine large-scale datasets for our client. Their work will have a direct impact on driving business strategies for prominent industry leaders. Self-motivation and strong communication skills are both must-haves. Ability to work in a fast-paced work environment is desired.
Problems being solved by our client:
Measure consumer usage of devices linked to the internet and home networks including computers, mobile phones, tablets, streaming sticks, smart TVs, thermostats and other appliances. There are more screens and other connected devices in homes than ever before, yet there have been major gaps in understanding how consumers interact with this technology. Our client uses a measurement technology to unravel dynamics of consumers’ interactions with multiple devices.
Duties and responsibilities:
- The successful candidate will contribute to the development of novel audience measurement and demographic inference solutions.
- Develop, implement, and support statistical or machine learning methodologies and processes.
- Build, test new features and concepts and integrate into production process
- Participate in ongoing research and evaluation of new technologies
- Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system
- Collaborate with teams in Software Engineering, Operations, and Product Management to deliver timely and quality data. You will be the knowledge expert, delivering quality data to our clients
Qualifications:
- 3-5 years relevant work experience in areas as outlined below
- Experience in extracting data using SQL from large databases
- Experience in writing complex ETL processes and frameworks for analytics and data management. Must have experience in working on ETL tools.
- Master’s degree or PhD in Statistics, Data Science, Economics, Operations Research, Computer Science, or a similar degree with a focus on statistical methods. A Bachelor’s degree in the same fields with significant, demonstrated professional research experience will also be considered.
- Programming experience in scientific computing language (R, Python, Julia) and the ability to interact with relational data (SQL, Apache Pig, SparkSQL). General purpose programming (Python, Scala, Java) and familiarity with Hadoop is a plus.
- Excellent verbal and written communication skills.
- Experience with TV or digital audience measurement or market research data is a plus.
- Familiarity with systems analysis or systems thinking is a plus.
- Must be comfortable with analyzing complex, high-volume and high-dimension data from varying sources
- Excellent verbal, written and computer communication skills
- Ability to engage with Senior Leaders across all functional departments
- Ability to take on new responsibilities and adapt to changes
Shubham Vishwakarma
Full Stack Developer - Averlon
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JenkinsExperience: 3-6 years
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Job summary
AEM, Java, Jenkins, DevOps
"Experience on Agile methodology.
- Hands on experience on AEM, JCR, Apache Sling, Apache Felix
- Develop AEM templates, components, fragments and experiences
- Work extensively in Core Java 1.8, JEE, AEM 6.2, AEM 6.1, AEM 6.0, CQ5.5, Apache CXF
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Preferred both male and female candidates.
Extra Benefits:1) Special Incentives
2) Attractive Bonus
3) Enthusiastic work Environment
About :
- Employee Management at your Fingertips. PagarBook - India's Best Payroll and Attendance
- Management tool for Small & Medium Enterprises. Using PagarBook, a business owner can maintain all the records of their employees digitally and can get insights around the same.
- PagarBook is free & easy to use employee management, work & payroll management software app where you can manage all your staff and employee’s attendance, record the work done by your staff and employees and their salary, payments & advances can also be recorded in this app.
- Sms & WhatsApp notification to employees and staff about payments, bonuses, daily work, attendance & leaves.
- The Sales would be done for premium desktop version of the application
- Benefits of desktop application:
- Better and Easier accessibility, also available on mobile web
- Access to rich reports which gives you business knowledge, spend
- Unlimited free upgrades for a year
About Sales team:
The field sales team at PagarBook is all about solving SME’s customer problems and ensuring we deliver compelling value propositions.
On a typical day, the sales team:
- drives the adoption of a premium version of Pagarbook, sold at a subscription fee per annum
- never-say-no attitude, and comes with a win-all attitude
- At the same time, a core ingredient of the DNA is customer empathy
- We should always ensure the customer is well informed of all the benefits of the solution, before we close the sales.
Responsibilities and Duties of sales associate:
- You will pitch about PagarBook desktop solution on field to customers
- You will explain the benefits of PagarBook desktop solution to customers
- Better and Easier accessibility, also available on mobile web
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- Unlimited free upgrades for a year
- Bulk update features
- Expense management
- The users can register on the desktop for a free trial for 7 days first
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- Having your own bike is a must
- Smartphone is a must
- Field sales experience is a must (telecom, FMCG and financial sales experience adds more weightage)
- Graduation in any field is sufficient
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- Fixed salary upto 25k
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- Petrol allowance ~upto INR 3,000 (on actual bills)
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Finally, remember, you are the PagarBook brand ambassador on the ground! All the best.
.NETC#
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Company Website : https://richpanel.com/" target="_blank">https://richpanel.com/
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Industry Background : Product based startup
Location : Hiranandani - Powai, Mumbai. (Remote working option available for candidates residing out of Mumbai)
Working Days & Timings : Monday to Saturday (Alternate Saturdays off), 12pm - 9pm.
Kindly apply if interested.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon