[Position]: Data Scientist
[Company]: Algotale
[Location]: Remote (India)
[Job type]: Full-time
[Job mode]: Entry level
[Job requisition id]: Not specified
[Years of experience]: Freshers welcome
Company Description
- Pioneering Tech Company: Algotale is an innovative technology firm committed to leading advancements in algorithmic development and data-centric solutions.
- Focus on Innovation: We leverage the power of data to foster innovation and drive value creation for our diverse clientele across various sectors.
- Collaborative Environment: At Algotale, we value teamwork and collaboration, encouraging our team members to share ideas and contribute to transformative projects.
- Global Impact: Our projects have a global impact, allowing our employees to work on international assignments that shape the future of technology.
- Commitment to Growth: We are dedicated to the continuous growth and professional development of our employees, offering ample opportunities to learn and progress in their careers.
- Diverse Team: We boast a diverse team of experts, bringing together a wealth of experience and expertise from various disciplines and backgrounds.
- Forward-Thinking Culture: Our company culture is forward-thinking, embracing new technologies and methodologies to stay ahead in the fast-evolving tech landscape.
- Client-Centric Approach: We maintain a client-centric approach, striving to understand and address the unique needs of our clients through data-driven solutions.
Profile Overview
- Role: Data Scientist (Entry-Level)
- Primary Focus: As a Data Scientist at Algotale, you will dive into large datasets to extract meaningful insights and develop predictive models.
- Key Responsibilities: Your main responsibilities will include data collection, processing, and analysis, building machine learning models, and conducting exploratory data analysis to identify trends.
- Team Collaboration: You will collaborate with cross-functional teams to understand business requirements and transform them into actionable data-driven solutions.
- Data Management: You will assist in data cleaning, preprocessing, and feature engineering, ensuring the integrity and quality of data used in analysis.
- Reporting: Your role involves creating data visualizations and reports to effectively communicate findings to stakeholders.
- Learning and Growth: You are expected to stay abreast of the latest industry trends and advancements in data science, continually enhancing your skills and knowledge.
- Remote Work: This position is fully remote, allowing you to work from any location within India while managing your time and tasks effectively.
Qualifications
- Educational Background: Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related field.
- Technical Proficiency: Strong understanding of statistical analysis and machine learning techniques is essential.
- Programming Skills: Proficiency in programming languages like Python or R is required, with a familiarity with data manipulation and analysis libraries such as pandas, NumPy, and scikit-learn.
- Data Visualization: Basic knowledge of data visualization tools like Matplotlib, Seaborn, or Tableau is expected.
- Problem-Solving: Excellent problem-solving skills and attention to detail are crucial for this role.
- Communication: Strong communication skills are needed to effectively convey complex data insights to stakeholders.
- Teamwork: Ability to work collaboratively in a team environment while also being capable of working independently.
- Remote Work Skills: Ability to manage time effectively and maintain productivity in a remote work setting.
Any Additional Info
Preferred Skills:
- Experience with SQL and database management is a plus.
- Knowledge of big data technologies such as Hadoop and Spark can be beneficial.
- Familiarity with natural language processing (NLP) and deep learning frameworks like TensorFlow and Keras is advantageous.
- Experience with cloud platforms including AWS, Google Cloud, or Azure is preferred.
Skills Keywords: Data science, Python, SQL.
Opportunities for Growth: The role offers a significant learning curve and the chance to work on diverse and challenging projects that provide a solid foundation for a career in data science.
Collaborative Projects: You will have the opportunity to work on collaborative projects that span across various industries, providing a comprehensive understanding of the application of data science.
Supportive Environment: Algotale offers a supportive environment that encourages continuous learning and professional development.
Industry Relevance: The role provides exposure to cutting-edge technologies and industry trends, ensuring that your skills remain relevant and up-to-date.
Dynamic Work Culture: Our dynamic work culture values innovation and creativity, providing a platform for you to contribute fresh ideas and solutions.
Impactful Work: Your work will have a direct impact on the company's success and on the clients we serve, making this role highly rewarding.
Please click here to apply.
Comments
Post a Comment
Please feel free to share your thoughts and discuss.