Masstort Specialist

Strong Lead – User Research & Analyst profile (behavioural/user/product/ux analytics)

Mandatory (Experience 1): Must have 10+ years of experience in Behavioral Data Analytics, User Research, or Product Insights, driving data-informed decision-making for B2C digital products (web and app).

Mandatory (Experience 2): Must have 6 months+ experience in analyzing user journeys, clickstream, and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, Firebase, or Amplitude.

Mandatory (Experience 3): Experience in leading cross-functional user research and analytics initiatives in collaboration with Product, Design, Engineering, and Business teams to translate behavioral insights into actionable strategies.

Mandatory (Skills 1): Strong expertise in A/B testing and experimentation, including hypothesis design, execution, statistical validation, and impact interpretation.

Mandatory (Skills 2): Ability to identify behavioral patterns, funnel drop-offs, engagement trends, and user journey anomalies using large datasets and mixed-method analysis.

Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization/storytelling tools such as Tableau, Power BI, or Looker for executive reporting and dashboard creation.

Mandatory (Skills 4): Deep understanding of UX principles, customer journey mapping, and product experience design, with experience integrating qualitative and quantitative insights.

Mandatory (Company): B2C product organizations (fintech, e-commerce, edtech, or consumer platforms) with large-scale user datasets and analytics maturity.

Mandatory (Note): Don’t want data analysts; looking for strategic behavioral insight leaders or research-driven analytics professionals focused on user behavior and product decision-making.

Talent Acquisition Executive

• Should be currently a Dedicated recruiter
• Exp- 2-3+ years
• CTC- 40-45 in hand per month + incentives
• IC- Individual contributor role
• Excellent communications (Verbal + written)
• Qualification – Any graduation
• Shift- 8.5 hours
• 6 days working
• Location: Prabhadevi

JD:

• Onboarding, induction, employee engagement, employee retention.
• Candidate who is open to learn and trainable even if currently does not posses the experience, will be considered if he/she is excellent as a TA

Autohangar has 12 branches around hence candidate should be open to travel for specific meetings.

Candidates preferred from Domains- Consultants/product based/BPO/Insurance companies

Role: Sr. Data Scientist

Exp: 4 -8 Years

CTC: up to 28 LPA

Technical Skills:

o Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.

o Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.

o Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.

o Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.

o Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).

o Exposure to natural language processing (NLP) techniques is a plus.

Cloud & Infrastructure:

o Strong expertise in Azure cloud ecosystem,

o Experience working in UNIX/Linux environments and using command-line tools for automation and scripting.

If interested kindly share your updated resume at 82008 31681

Assistant Manager / Manager – Sales & Barter Deals

Location: Mumbai | Delhi | Bangalore

About the Role

Join BXI – Barter Exchange of India to drive B2B barter transactions with leading brands. This role focuses on onboarding clients, structuring barter solutions, and generating revenue through agency & platform fees.

Key Responsibilities

• Onboard corporate clients and brands to the BXI Barter Marketplace.

• Facilitate barter deals in Media, Hotels, Gift Vouchers, and Electronics.

• Build & service long-term client relationships.

• Attend industry events and networking forums to create opportunities.

• Structure tailored barter solutions and ensure smooth execution.

• Travel across India for client meetings and deal closures.

Requirements

• Education: MBA preferred.

• Experience: 3–6 years in Sales / Business Development / Client Servicing.

• Strong sales & networking skills with proven revenue generation.

• Excellent communication, presentation & client management abilities.

• Digital savvy and proactive in building opportunities.

Responsibilities:

• Engage directly with customers to design, develop, and deploy AI enterprise applications on the 
• Become an expert in application design and development on the ; lead design and code reviews of end-to-end customer applications
• Perform enhancement, testing, and troubleshooting, of applications with and on behalf of customers
• Continuously identify technical risks and gaps; devise mitigation strategies in anticipation of customer needs
• Write specifications, documentation, and user guides for customer applications

 Required Qualifications:

• Bachelor’s degree in a Science, Technology, Engineering or Math (STEM) field
• 3+ years professional experience in a customer-facing role building enterprise cloud software applications
• Solid understanding of cloud computing concepts
• Solid understanding of databases types and trade-offs
• Demonstrated proficiency in Java and/or similar programming languages
• Working knowledge of Agile software development methodology
• Strong analytical ability and problem-solving techniques
• Strong organizational skills with high attention to detail
• Excellent interpersonal skills with the ability to work effectively in a cross-functional team

 Preferred Qualifications:

• Bachelor’s degree in Computer Science or equivalent field; graduate degree in complimentary STEM or Business field
• Experience building and deploying AI-based enterprise applications
• Solid understanding of common machine learning techniques, applications, and trade-offs
• Demonstrated proficiency in javascript and/or similar programming language
• Domain expertise in one or more of the following industries: Aerospace, Financial Services, Healthcare, Industrial Manufacturing, Oil & Gas, Public Sector, Power & Utilities, Supply Chain, Telecommunications
• Proficiency in time series analysis, data cleansing, and data normalization