Tekvortex specializes in building complex enterprise products and services. We are currently seeking talented and experienced Data Scientists to join our Product Engineering team and help build functional and efficient server and client-side applications.

As part of our team, you’ll collaborate on enterprise applications alongside a globally standardized group. Together, we’ll create innovative, fast, scalable, and reliable products for our clients. If you have relevant experience, strong technical skills, and excellent interpersonal and communication abilities, we’d be delighted to connect with you.

Responsibilities:

• Design, develop, and implement machine learning models to analyze large datasets, create auto-classification and other natural language processing models, and uncover hidden patterns in our data.
• Utilize your expertise in data cleaning, wrangling, and transformation to ensure high-quality data for analysis.
• Communicate complex data findings and insights to technical and non-technical audiences in a clear, concise, and compelling manner.
• Stay up-to-date on the latest advancements in machine learning and data science by actively participating in research and development initiatives.

Requirements:

• Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, or a related field (or equivalent industry experience).
• At least 2 to 3 years of experience working as a Data Scientist.
• Proven experience with Python programming languages and libraries, including scikit-learn, TensorFlow, or PyTorch.
• Experience with Named Entity Recognition (NER) techniques and the ability to integrate NER into data processing pipelines.
• Strong understanding of statistical methods and machine learning algorithms, particularly for natural language processing, regression, network analysis, and large language models.
• Proficiency in deployment and orchestration of multiple models for data pipelines.
• Excellent communication and collaboration skills, with the ability to effectively translate technical concepts to a broader audience.
• A keen eye for detail and a commitment to delivering high-quality work.

Bonus Points:

• Experience converting copy (news feeds, etc.) into meaningful narratives and intelligence products.
• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Experience with data visualization tools (e.g., Tableau, Power BI, D3).

**Remuneration to match your skills and experience, and will not be a constraint for deserving candidates.
**If you have slightly lesser years of experience but are passionate, you can apply too.