Data/Sr. Data Scientist

at Antuit

Data/Sr. Data Scientist

Antuit

Company

Home

Data/Sr. Data Scientist

at Antuit

Posted by Purnendu Shakunt

4 - 7 yrs

₹15L - ₹20L / yr

Bengaluru (Bangalore)

Skills

Data Science

Machine Learning (ML)

Artificial Intelligence (AI)

Python

Algorithms

Linear regression

Logistic regression

Time series

PySpark

About antuit.ai

Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.

Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.

The Role:

Antuit is looking for a Data / Sr. Data Scientist who has the knowledge and experience in developing machine learning algorithms, particularly in supply chain and forecasting domain with data science toolkits like Python.

In this role, you will design the approach, develop and test machine learning algorithms, implement the solution. The candidate should have excellent communication skills and be results driven with a customer centric approach to problem solving. Experience working in the demand forecasting or supply chain domain is a plus. This job also requires the ability to operate in a multi-geographic delivery environment and a good understanding of cross-cultural sensitivities.

Responsibilities:

Responsibilities includes, but are not limited to the following:

Design, build, test, and implement predictive Machine Learning models.
Collaborate with client to align business requirements with data science systems and process solutions that ensure client’s overall objectives are met.
Create meaningful presentations and analysis that tell a “story” focused on insights, to communicate the results/ideas to key decision makers.
Collaborate cross-functionally with domain experts to identify gaps and structural problems.
Contribute to standard business processes and practices as part of a community of practise.
Be the subject matter expert across multiple work streams and clients.
Mentor and coach team members.
Set a clear vision for the team members and working cohesively to attain it.

Qualifications and Skills:

Requirements

Experience / Education:
- Master’s or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics or other related
5+ years’ experience working in applied machine learning or relevant research experience for recent Ph.D. graduates.
Highly technical:
Skilled in machine learning, problem-solving, pattern recognition and predictive modeling with expertise in PySpark and Python.
Understanding of data structures and data modeling.
Effective communication and presentation skills
Able to collaborate closely and effectively with teams.
Experience in time series forecasting is preferred.
Experience working in start-up type environment preferred.
Experience in CPG and/or Retail preferred.
Effective communication and presentation skills.
Strong management track record.
Strong inter-personal skills and leadership qualities.

Information Security Responsibilities

Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
Take part in Information Security training and act accordingly while handling information.
Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).

EEOC

Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.

About antuit.ai

The Role:

Responsibilities:

Responsibilities includes, but are not limited to the following:

Design, build, test, and implement predictive Machine Learning models.
Collaborate with client to align business requirements with data science systems and process solutions that ensure client’s overall objectives are met.
Create meaningful presentations and analysis that tell a “story” focused on insights, to communicate the results/ideas to key decision makers.
Collaborate cross-functionally with domain experts to identify gaps and structural problems.
Contribute to standard business processes and practices as part of a community of practise.
Be the subject matter expert across multiple work streams and clients.
Mentor and coach team members.
Set a clear vision for the team members and working cohesively to attain it.

Qualifications and Skills:

Requirements

Experience / Education:
- Master’s or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics or other related
5+ years’ experience working in applied machine learning or relevant research experience for recent Ph.D. graduates.
Highly technical:
Skilled in machine learning, problem-solving, pattern recognition and predictive modeling with expertise in PySpark and Python.
Understanding of data structures and data modeling.
Effective communication and presentation skills
Able to collaborate closely and effectively with teams.
Experience in time series forecasting is preferred.
Experience working in start-up type environment preferred.
Experience in CPG and/or Retail preferred.
Effective communication and presentation skills.
Strong management track record.
Strong inter-personal skills and leadership qualities.

Information Security Responsibilities

Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
Take part in Information Security training and act accordingly while handling information.
Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).

EEOC

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About Antuit

Founded :

2013

Type :

Product

Size :

100-500

Stage :

Profitable

About

Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through. Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital. Antuit.ai is the Most Advanced Artificial Intelligence Demand Forecast & Omnichannel Inventory Optimization.

Purnendu Shakunt

Connect

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Partner with Project Managers, Business Analysts, and other developers to plan project work by providing estimates, risk analysis, technical options.
Support and work collaboratively with teams across areas of design, development, quality assurance, and operations.
Help define the vision for a product, identify dead ends and routes with untapped potential.
Attend meetings to discuss and demonstrate solutions at both a technical and business level.

Required Skills

5+ years of web application development experience using at least one of the following: Javascript, Web Components, Angular, Polymer, ReactJS, Redux, LitElement, Svelte, VueJS, or knockout.js. Web Components is used and preferred.
Experience with SPA (Single Page Application) design and implementation
Experience with HTML5/CSS3/JavaScript/ and AJAX
Experience working with a variety of APIs and RESTful interfaces
Experience with performance optimization
Experience integrating security best practices into the SDLC
Experience with Git
1+ years of Agile development experience
Experience manipulating and working with data in a variety of forms: csv, xml, json, structured and unstructured
Intellectual curiosity and drive; self-starters will thrive in this position
Passion for Technology: excitement for new technology, bleeding edge applications, and a positive attitude towards solving real world challenges

Desirable Skills

SQL experience. PostGreSQL a plus.
Knowledge of AWS or other cloud environments is a plus.
Knowledge JIRA, Bamboo, Confluence, or BitBucket a plus.
Experience with CI/CD is a plus.
Experience working with databases and web applications in analytics, reporting or Business Intelligence is a plus.

Guest Relations Executive

at UFC GYM INDIA

1 recruiter

Posted by Shreya Singh

NCR (Delhi | Gurgaon | Noida)

1 - 2 yrs

₹2.4L - ₹3L / yr

Sales

Customer Service

Lead Generation

Business Development

Telecom

JOB DESCRIPTION

TITLE: Guest Relationship Executive (GRE)

DEPARTMENT: Sales

REPORTING TO: Club Manager (CM) / Deputy Club Manager (DCM)

GENERAL SUMMARY:
The Guest Relation Executive (GRE) will represent the UFC GYM by providing a
welcoming, informative and entertaining experience for all members and guests during
their visits. The GRE’s are responsible for driving (non-members) into the gym in order
to deliver industry leading customer services to them as well as our current members.
This service must translate into exceeding personal revenue targets issued by
management through both internal and external prospecting. This is a full-time position
reporting directly to the Deputy Club Manager & Club Manager.

ESSENTIAL DUTIES & RESPONSIBILITIES:
1. Lead Generation & Appointment Booking
Personal minimum expectation: Minimum 50 follow-up calls per day, Minimum 7
appointments booked and confirmed per day and Minimum 2 membership
enrolment per day, 2 personal coaching enrolments per week and two units of
merchandise sales per week.
External marketing, promotions and prospecting. This is a daily activity and
requires off site promotions including distributing passes, building relationships
with local merchants and branding events to inform the community of UFC gym
and services, ultimately resulting into leads. (A lead is a non-members name and
contact information.

Internal marketing and prospecting. This includes collecting leads at the point of
enrolment and from the current member base through relationship building and
referral tables. These activities must translate into lead gathering.
Book membership appointments through productive prospecting activities and
meet or exceed monthly appointment goals set forth by the company.
Ensure that appointments are booked to translate into enough guests and meet
or exceed monthly guest goal set forth by the company.  
2. Guest Touring, Membership Presentations, & Personal Production  
Ensure that 100% of guests taken through a tour. These tours should translate
into enrolling half of the guests that are seen on a membership (50% Closing) and
20% of them enrolling with Personal Training.
Use the company approved presentation when presenting membership options
to non-members. Ensure each new member meets a manager before completing
the sales process and exiting the gym. Proper presentation and introductions to
the manager should translate to 50% closing of guests.
Ensure Personal Sales Target goals are met or exceeded each month for New
Member Sales Revenue, Renewal membership Sales Revenue, Personal Coaching
Sales Revenue and Merchandise Sales Revenue.
Ensure integrity of each sale.

3. Customer Service
Follow up with members that have enrolled to ensure we are exceeding
expectations.
Provide the highest level of customer service possible when communicating and
interacting with guests.
Assist in maintaining a clean, hygienic and operational facility.

Accountable for saving members that are requesting to cancel their membership.
If the Membership Specialist is unable to convince a member from cancelling
they must have any manager meet the member and sign off on the cancelation.  
Recording all customer feedback & complaintsand sharing the same with DCM,
CM, GM and the Top Management.
Filing and reporting members incident report with the DGM/ CM/ GM and top
Management.
Updating the members on any rescheduling or cancellation of scheduled classes.
4. Miscellaneous  

Sales Schedule: All GRE’s must be available to work Weekends and
Holidays. Requests for days  off must be given in writing and exceptions
can be made by the General Manager.  
Mandatory Meetings: Monthly “All Team Meeting” and “Daily
Production Meetings” are mandatory.
Follow, implement and audit all rules, regulations and guidelines of the
organisation. 

ORGANIZATION RELATIONSHIPS: The GRE’s will interact with club staff, including the
Operations and Fitness Departments as well as the Guest Relations Team. The
Membership Specialist will also communicate with members, guests and vendors in the
community regarding company promotions and membership packages to support club
sales.
This position description intends to describe the general nature and level of work being
performed by people assigned to this job.  It is not intended to include all duties and
responsibilities. The order in which duties and responsibilities are listed is not
significant.

UX Designer

at PicoStone Technologies

3 recruiters

Posted by Virang Jhaveri

Mumbai

0 - 3 yrs

₹3L - ₹3L / yr

User Experience (UX) Design

HTML/CSS

Graphic Designing

Create designs for the organisation and cultivate a strong body of work. Take the design brief from the CEO and Software Engineers of the organisation and work with them. Work with a wide range of media and use graphic design software. Think creatively and develop new designs. Design the packaging of the different PicoStone products.

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