
Job Summary:
We are looking for a skilled Data Scientist with strong expertise in demand forecasting, predictive analytics, and emerging Generative AI technologies. The ideal candidate should have hands-on experience in machine learning, deep learning, NLP, and LLM-based solutions, along with proficiency in Python, SQL, Power BI, and advanced Excel. This role involves building scalable forecasting models and leveraging AI/GenAI to deliver actionable business insights.
Key Responsibilities:
- Develop and deploy demand forecasting models using machine learning and deep learning techniques.
- Analyze historical data to identify trends, seasonality, and demand patterns.
- Build predictive models to improve supply chain and inventory planning.
- Work with large datasets using Python and SQL for data extraction, transformation, and analysis.
- Design dashboards and reports using Power BI for business stakeholders.
- Utilize advanced Excel techniques (Pivot Tables, Power Query, formulas) for analysis and reporting.
- Build and integrate NLP-based solutions for text data analysis and insights.
- Develop and implement LLM-based applications using Generative AI frameworks.
- Design and deploy RAG (Retrieval-Augmented Generation) pipelines for intelligent data retrieval and response generation.
- Collaborate with cross-functional teams (operations, finance, product) to align forecasting and AI solutions.
- Continuously improve model accuracy and performance through experimentation and optimization.
Required Skills:
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Solid understanding of machine learning & deep learning algorithms.
- Experience in demand forecasting / time-series analysis (ARIMA, Prophet, LSTM, etc.).
- Hands-on experience with NLP techniques and libraries (NLTK, SpaCy, Transformers).
- Experience working with LLMs and Generative AI frameworks (OpenAI, Hugging Face, LangChain, etc.).
- Strong understanding of RAG architectures and vector databases (FAISS, Pinecone, etc.).
- Advanced knowledge of SQL for data manipulation.
- Hands-on experience with Power BI for visualization and reporting.
- Expertise in advanced Excel (Power Query, dashboards, data modeling).
- Strong analytical and problem-solving skills.
Preferred Qualifications:
- Experience in supply chain, logistics, or e-commerce forecasting.
- Knowledge of cloud platforms (AWS, Azure, or GCP).
- Familiarity with data pipelines and ETL processes.
- Understanding of business metrics and KPIs related to demand planning.

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Are you someone who understands real estate inside-out and gets excited by the idea of deal-making that goes beyond buying and selling? BXI is looking for a sharp, driven professional to join our Real Estate Barter vertical and help grow a first-of-its-kind exchange marketplace for property assets.
What you'll do
- Identify and onboard real estate developers, builders, and property owners on the BXI barter platform
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- Collaborate with internal teams to close end-to-end deals and ensure smooth settlement
- Track market trends and identify new opportunities in the real estate barter space
- Own revenue targets and consistently drive business growth for the vertical
Who you are
- 3–5 years of experience in real estate sales, leasing, or business development
- Strong understanding of the Mumbai real estate market — developers, micro-markets, and deal dynamics
- Excellent negotiation and relationship-building skills
- Entrepreneurial mindset — you're comfortable with ambiguity and love solving complex deals
- Prior exposure to non-traditional real estate models (co-living, managed offices, barter, lease-equity) is a plus
- Strong communication in English and Hindi; Marathi preferred
Required Skills:
- Hands-on experience with Databricks, PySpark
- Proficiency in SQL, Python, and Spark.
- Understanding of data warehousing concepts and data modeling.
- Experience with CI/CD pipelines and version control (e.g., Git).
- Fundamental knowledge of any cloud services, preferably Azure or GCP.
Good to Have:
- Bigquery
- Experience with performance tuning and data governance.
Roles & Responsibilities
1. Build and develop commercial relationships with our key targeted B2B partners (e-rickshaw, battery dealers and distributors).
2. Establish a systematic approach for partner outreach and B2B relationship management.
3. Strategize newer ways to grow current partnerships & form new ones.
4. Understand the current market trends and build & grow relationships accordingly.
5. Negotiate and finalize the partnership deals.
Desired Skills
1. 3+ years of relevant work experience.
2. Successfully built and managed B2B partnerships in the past.
3. Excellent at Opportunity Analysis and Business Planning.
If you are someone
1. Who is resourceful, and able to effectively negotiate and close the B2B deals. You prefer traveling and visiting B2B partners.
2. Understand internal dynamics and partner profiles to create a win-win situation.
3. Energetic, hunger to learn.
4. Comfortable getting your hands dirty and high on execution.
This Opportunity is for YOU!
Requirements:
• Installing and configuring software, hardware and networks. •Administrate infrastructure, including firewalls, databases, malware protection software and other processes
•Provide technical support for hardware/software issues and resolve help desk requests
•Monitor the system daily and respond immediately to security or usability concerns.
•Upgrade systems with new releases and models and ensuring security and efficiency of IT infrastructure.
•Constant finetuning of the OS for improving the performance of the system.
•Coordinating with OEM support teams in case of any dockets raised and ensure the issues are resolved.
•Provisioning Operational support and troubleshooting the issues related to system administration.
•Perform in 24 x 7 environment in shift roaster and attend calls whenever assigned
•Must be Red Hat certified professional.
Skills Required:
•Red Hat (Primary)
•Debian
•Ubuntu
•SUSE
Job Responsibilities:
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns
- Helping develop reports and analysis.
- Present information using data visualization techniques.
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- Evaluating changes and updates to source production systems.
- Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks
- Providing technical expertise in data storage structures, data mining, and data cleansing.
- Propose solutions and strategies to business challenges
Desired Skills and Experience:
- At least 1 year of experience in Data Analysis
- Complete understanding of Operations Research, Data Modelling, ML, and AI concepts.
- Knowledge of Python is mandatory, familiarity with MySQL, SQL, Scala, Java or C++ is an asset
- Experience using visualization tools (e.g. Jupyter Notebook) and data frameworks (e.g. Hadoop)
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills.
- Bachelor’s / Master's Degree in Computer Science, Engineering, Data Science or other quantitative or relevant field is preferred
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Responsibilities:
- Gain a deep understanding of customer experience, identify and fillproduct gaps and generate new ideas that grow market share, improve customer experience and drive growth
- Create buy-in for theproduct vision both internally and with key external partners
- Developproduct pricing and positioning strategies
- Translateproduct strategy into detailed requirements and prototypes
- Scope and prioritize activities based on business and customer impact
- Work closely with engineering teams to deliver with quick time-to-market and optimal resources
- Driveproduct launches including working with public relations team, executives, and other product management team members
- Evaluate promotional plans to ensure that they are consistent withproduct line strategy and that the message is effectively conveyed
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- Represent the company by visiting customers to solicit feedback on company products and services
Requirements:
- Proven work experience inproduct management
- Proven track record of managing all aspects of a successfulproduct throughout its lifecycle
- Proven ability to developproduct and marketing strategies and effectively communicate recommendations to executive management
- Solid technical background with understanding and/or hands-on experience in software development and web technologies
- Strong problem solving skills and willingness to roll up one’s sleeves to get the job
- Skilled at working effectively with cross functional teams in a matrix organization
- Excellent written and verbal communication skills
Location: Ahmedabad (Work From the Office)
Job Description
Responsibilities of a Campaign Manager
Responsibilities w.r.t Customer:
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Keep the promises made to the customer in terms of deliverables.
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Continuous research on Audience and product to ensure an appropriate match and share as well as get insights from the customer
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Design a marketing plan and get it approved by the customer
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Design and implement the planned campaign to achieve the customer KPI
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Negotiate deals with third party publishers as a part of the marketing plan
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Implement the campaign by ensuring traffic (Campaign Trafficking )
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Analyze the campaign
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Report the results to the customer
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Deep analysis of the data
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Optimize the campaign based on the data
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Guide the customer on a technology road map for their requests.
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Keeping the floodlight implementation at the correct trigger points to get the data
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Keep the customer updated and aware of the progress.
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Communicate to keep customer sentiment high
Business Responsibilities
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Increase the revenue per customer by giving a marketing plan which they accept.
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Providing marketing plans for new customers to the Customer Development team for business development
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Designing Innovative and performing campaigns which lead to increased revenue by the customer.
Technology
Stay abreast with the concepts and updates in the core technologies DV 360, Campaign Manager and Google Ads, and GA 360.
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Functional Competencies |
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Planning & Strategy |
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Trafficking, Conversion setup |
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Optimization, Bidding, Budgets, and Targeting |
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Reporting, Analysis, and insights |
Mandatory Skill Requirements:
- Strong Fundamentals on Manual Testing.
- Some experience on API Automation Testing .
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- Basic understanding of SQL.(During the interview one SQL question will be asked)
- Preferred Experience ( 2-6 yrs)








