Skills:
python, PyTorch, Machine Learning, AIML, NLP, EDA, Algorithms,
Company Overview
ABBINENI BUSINESS MANAGEMENT is a leading staffing company specializing in providing comprehensive workforce solutions to businesses across various industries. Established in 2019, we have built a strong reputation for delivering customized staffing solutions. Our mission is to bridge the gap between exceptional talent and progressive organizations, and our vision is to be the preferred staffing partner for businesses across industries.
Job Overview
We are seeking an experienced Data Scientist to join our team at ABBINENI BUSINESS MANAGEMENT Pvt. Ltd. As a Data Scientist, you will be responsible for analyzing large datasets, developing predictive models, and generating meaningful insights to drive business decisions. This is a senior-level position requiring 7 to 10 years of experience. The role is based in Bengaluru, Karnataka, India and is a full-time position.
Qualifications And Skills
- Bachelor's or Master's degree in computer science, data science, statistics, or a related field.
- 7 to 10 years of experience in data science or a related role.
- Strong knowledge of statistical analysis, machine learning algorithms, and predictive modeling techniques.
- Proficiency in programming languages such as Python or R.
- Experience with big data technologies and frameworks (e.g., Hadoop, Spark).
- Solid understanding of data visualization techniques to effectively communicate insights.
- Excellent problem-solving and analytical skills.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Roles And Responsibilities
- Analyze complex datasets and develop statistical models to extract insights and make predictions.
- Design and implement algorithms and machine learning models to solve business problems.
- Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.
- Clean, preprocess, and transform raw data to ensure data quality and accuracy.
- Develop and deploy scalable data pipelines and workflows.
- Present findings and insights to stakeholders in a clear and concise manner.
- Stay updated with the latest trends and advancements in data science and machine learning.
- Provide guidance and mentorship to junior data scientists.
