Key Responsibilities:
- Make outbound calls to potential clients based in the US region.
- Identify customer needs and present appropriate product/service solutions.
- Maintain followup with prospects and work towards conversions.
- Update CRM systems with lead status call notes and other relevant data.
- Build and maintain strong customer relationships through effective communication.
- Meet weekly and monthly sales targets.
- Coordinate with internal teams to ensure a smooth onboarding process for new clients.
Requirements
What We re Looking For:
- 1 3 years of experience in telecalling inside sales or a similar role.
- Excellent verbal communication skills in English.
- Confidence in handling outbound calls and client interactions.
- Basic understanding of sales processes and customer relationship management.
- Selfmotivated targetdriven and comfortable working independently.
- Willingness to work night shifts aligned with US time zones.
- Familiarity with CRM tools is a plus.
Benefits
- Health insurance
- Paid sick time
- Paid time off
Educational Background: Bachelor's and Master s degrees in Data Science, Computer Science, Statistics, or a related field. Technical Skills: Proficient in Python and familiar with key data science libraries (Pandas, Scikit-Learn, TensorFlow, or PyTorch). Strong understanding of all complex machine learning algorithms not limited to decision trees, random forests, and gradient boosting machines. Competence in data preprocessing, cleaning, and analysis. Familiarity with data cleaning, transformation, and preprocessing techniques. Experience with SQL and possibly some NoSQL databases for data querying and manipulation. Basic knowledge of data visualization tools like Matplotlib and Seaborn. Strong skills in SQL for data extraction, and the ability to work with complex database systems. Advanced knowledge of analytical tools and software such as Excel, Tableau, or more specialized software depending on the industry (e.g., SAS, SPSS). Experience with data visualization and the ability to create interactive dashboards. Vast knowledge of NLP, Deep Learning, Machine Learning , Knowledge of genAI with implementation knowledge (LLM, fine tuning RAG implementation) and many more. Familiarity with cloud services (AWS, Azure, Google Cloud) for data processing and storage.. Professional Experience: 2-3 years of experience in a data science or related role. Proven track record of developing and deploying machine learning models to solve business problems. Experience in projects that involve complex data structures and large-scale datasets. Exposure to model validation and implementation in a production environment. Demonstrated experience in analyzing large datasets and delivering actionable insights. Proven track record of effectively communicating findings to help inform business decisions. Experience in performing statistical analysis, forecasting, and establishing data structures that optimize analytical capabilities. Soft Skills: Strong problem-solving skills with a capability to work through complex issues using a logical and analytical approach. Good communication skills to effectively articulate insights and technical details to non-technical stakeholders. Ability to work collaboratively in team settings and manage project timelines effectively. Strong attention to detail with the capability to work on multiple projects simultaneously. Effective communication skills, capable of presenting complex information in an understandable and compelling manner. Collaboration skills to work effectively with both technical teams and business units.