Posted:5 days ago|
Platform:
On-site
Full Time
Description We are seeking an experienced Data Scientist with a strong focus on Machine Learning to join our team in India. The ideal candidate will have 5-15 years of experience in applying machine learning techniques to real-world problems, with a deep understanding of data analysis and statistical modeling. Responsibilities Designing and implementing machine learning models to solve complex business problems. Conducting data analysis to identify trends and patterns in large datasets. Collaborating with cross-functional teams to define data requirements and deliver insights. Presenting findings and recommendations to stakeholders in a clear and concise manner. Continuously improving existing machine learning algorithms and processes. Skills and Qualifications Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch. Strong understanding of statistical analysis and data mining techniques. Familiarity with big data technologies like Hadoop, Spark, or similar. Experience with data visualization tools such as Tableau, Power BI, or Matplotlib. Ability to work with large datasets and perform data cleaning and preprocessing. Strong problem-solving skills and attention to detail. Excellent communication skills to convey complex concepts to non-technical stakeholders.
Robotics Technologies
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Chennai, Tamil Nadu, India
10.0 - 15.0 Lacs P.A.
Gurgaon / Gurugram, Haryana, India
5.5 - 15.0 Lacs P.A.
Gurgaon / Gurugram, Haryana, India
7.0 - 20.0 Lacs P.A.
Bengaluru / Bangalore, Karnataka, India
8.0 - 10.5 Lacs P.A.
Kolkata, West Bengal, India
8.0 - 10.0 Lacs P.A.
Chennai, Tamil Nadu, India
8.0 - 10.0 Lacs P.A.
Pune, Maharashtra, India
8.0 - 10.0 Lacs P.A.
Ahmedabad, Gujarat, India
8.0 - 10.0 Lacs P.A.
Hyderabad / Secunderabad, Telangana, Telangana, India
8.0 - 10.0 Lacs P.A.
Delhi, Delhi, India
4.0 - 9.0 Lacs P.A.