DataRepo Pvt. Ltd.

5 Job openings at DataRepo Pvt. Ltd.
Business Analyst – Cold Calling (Work From Home) Noida,Uttar Pradesh,India 0 years Not disclosed Remote Full Time

Company: DataRepo Private Limited Salary: ₹1,000 per successful client closing Location: Remote (Work From Home) Employment Type: Freelance / Commission-Based About Us: DataRepo Private Limited is an IT and services company offering SaaS Development , Application Development , Digital Marketing and 2D & 3D Website Development . We work with businesses to deliver innovative digital solutions. Job Overview: We are looking for a self-motivated and confident Business Analyst (Cold Calling) to help generate leads and convert prospects into clients. We will provide the call data — your job is to reach out, pitch our services, and close deals. Key Responsibilities: Make cold calls to potential clients from the provided data Pitch our IT and digital development services professionally Follow up and build rapport with interested leads Convert leads into paying clients Maintain records of calls and client interactions Requirements: Minimum 3 months of experience in telecalling or sales Good communication and persuasion skills Hindi and English Self-disciplined and comfortable working remotely Basic understanding of IT services is a plus Must have a working phone and internet connection Compensation: ₹1,000 per successful client onboarding No base salary; purely performance-based Interested candidates can message us directly with their experience and availability. Let us know if you’re ready to join our growing remote sales team! Show more Show less

📢 Job Opening: Telecaller – DataRepo Private Limited (Greater Noida) Noida,Uttar Pradesh,India 0 years None Not disclosed On-site Full Time

We are hiring a Telecaller with a minimum of 6 months of experience to join our team at DataRepo Private Limited , an IT & Services company based in Greater Noida . Role & Responsibilities: Make outbound calls to potential clients (data provided by the company). Pitch our services: SaaS Development , App Development , 2D/3D Website Development . Secure leads, onboard clients, and coordinate with the internal team. Follow up and ensure timely client engagement and conversion. Job Type: Full-Time, On-Site (Greater Noida) Working Hours: 10:00 AM to 6:00 PM, Monday to Saturday Salary & Incentives: Fixed Salary: ₹10,000/month Plus 5% commission on every successful client transaction Important: Minimum 5 successful client onboardings per month required to receive the fixed salary. If target is not met, only the 5% commission will be paid. Requirements: Minimum 6 months of telecalling/sales experience Strong communication and persuasion skills Comfortable with calling and client interaction

Job Opening: Data Science Engineer (Fraud Detection) – Remote, Night Shift Noida,Uttar Pradesh,India 7 years None Not disclosed Remote Full Time

Company: DataRepo Private Limited Location: Remote (Work from Home) Working Hours: 6:00 PM to 2:00 AM IST (Strict shift adherence required) Salary: ₹35,000/month (Fixed) About the Role: We are hiring a Data Science Engineer to join our growing remote team focused on building and deploying real-time fraud detection models for credit card transactions. This role is ideal for a professional with strong hands-on experience in machine learning, big data engineering, and financial risk systems . You will work closely with cross-functional teams to develop production-ready solutions using Azure , Databricks , and Spark , helping prevent financial fraud at scale. Key Responsibilities: Design, build, and deploy machine learning models for real-time fraud detection Analyze large-scale financial transaction data to identify suspicious patterns Create and manage data pipelines and workflows using Databricks on Azure Collaborate with engineering, fraud operations, and compliance teams Monitor model performance and implement feedback loops for retraining and drift handling Optimize data workflows for cost, performance, and accuracy Required Skills & Qualifications: Minimum 7 years of experience in data science or ML engineering roles Strong programming experience in Python and SQL Solid understanding of ML algorithms (supervised, unsupervised, anomaly detection, etc.) Proven experience with fraud detection systems or financial transaction modeling Hands-on experience with Databricks , Apache Spark , and Azure ML Strong knowledge of model evaluation , monitoring , and retraining strategies Ability to work remotely with strict adherence to the 6 PM – 2 AM IST shift Preferred Skills (Nice to Have): Prior experience in payments , banking , or financial services Familiarity with Microsoft Fabric and stream analytics Exposure to Kafka and real-time data processing Experience working directly with fraud ops , risk , or compliance teams Additional Notes: You will be required to sign an NDA . Disclosure of internal work or salary details is strictly prohibited. Strong commitment and communication are expected — you’ll be working with a remote team and may need to interface with clients.

Now Hiring: Remote Developers – Night Shift (6 PM to 2 AM IST) Noida,Uttar Pradesh,India 3 years None Not disclosed Remote Full Time

Company: DataRepo Private Limited Work Mode: Remote (Work From Home) Shift Timing: 6:00 PM – 2:00 AM IST (Strict) Salary: ₹35,000/month (Fixed for both roles) NDA Required Open Positions: Big Data & AWS Developer Experience Required: 3+ Years Key Skills: Strong in PySpark , Spark SQL , Hive , Airflow , and HDFS Hands-on with AWS services : EMR, Glue, Lambda, Athena, S3, Redshift, Step Functions, etc. Proficient in Python , SQL , MySQL , Oracle Familiar with CI/CD tools : GitHub, Jenkins, Jira Experience with data validation, anomaly detection , and schema checks Ability to work independently and manage high-volume data pipelines Data Science Engineer – Fraud Detection Experience Required: 7+ Years Key Skills: Expert in Python , SQL , and machine learning algorithms Hands-on with Databricks , Spark , and Azure ML Experience building fraud detection models for credit card transactions Familiar with real-time data streaming tools like Kafka Knowledge of drift detection , model monitoring , and retraining workflows Worked with cross-functional teams in fraud ops, compliance, and engineering Important Terms for Both Roles: Remote Night Shift : 6:00 PM to 2:00 AM IST ( strictly followed ) Salary : ₹35,000/month (fixed) Must use your own laptop and have a stable internet connection Signing of an NDA (Non-Disclosure Agreement) is mandatory You must not disclose your salary or internal project details to the client You will be represented by DataRepo Private Limited during the interview process The interview will have two rounds , and the client will make the final decision on selection

On-Site Sales Executive noida,uttar pradesh 1 - 5 years INR Not disclosed On-site Full Time

As an On-Site Sales Executive at DataRepo Private Limited, you will play a crucial role in promoting our IT services and closing deals with potential clients. Your primary responsibility will be to make outbound calls, pitch our services, and ensure successful project onboarding. Key Responsibilities: - Make daily outbound calls using company-provided lead data - Promote and sell our services to potential clients - Maintain follow-up with leads to convert them into customers - Work closely with the technical team to ensure smooth onboarding - Keep accurate records of all conversations and conversions - Meet daily and monthly conversion targets Qualifications Required: - Must work on-site at our Greater Noida office on a full-time basis - Strong communication and convincing skills in Hindi and English - Basic understanding of IT and web development services (training can be provided) - Prior sales, calling, or telemarketing experience preferred - Punctual, self-motivated, and target-driven Please note that this is a commission-based role without a fixed salary, offering unlimited earning potential based on your performance. DataRepo Private Limited offers support, guidance, and growth opportunities for high performers. Join us in bringing digital ideas to life with scalable, modern solutions.,