Data Scientist

Job Description

Role Data Scientist LocationBangalore TimingsFull Time (As per company timings) Notice Period(Immediate Joiner Only) Experience5 Years We are looking for a highly motivated and skilled Data Scientist to join our growing team The ideal candidate should possess a robust background in data science, machine learning, and statistical analysis, with a passion for uncovering insights from complex datasets This role demands hands-on experience in Python and various ML libraries, strong business acumen, and effective communication skills for translating data insights into strategic decisions. Key Responsibilities Develop, implement, and optimize machine learning models for predictive analytics and business decision-making. Work with both structured and unstructured data to extract valuable insights and patterns. Leverage Python and standard ML libraries (NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, Keras, Matplotlib) for data modeling and analysis. Design and build data pipelines for streamlined data processing and integration. Conduct Exploratory Data Analysis (EDA) to identify trends, anomalies, and business opportunities. Partner with cross-functional teams to embed data-driven strategies into core business operations. Create compelling data stories through visualization techniques to convey findings to non-technical stakeholders. Stay abreast of the latest ML/AI innovations and industry best practices. Required Skills & Qualifications 5 years of proven experience in Data Scientist and machine learning. Proficient in Python and key data science libraries. Experience with ML frameworks such as TensorFlow, Keras, or PyTorch. Strong understanding of SQL and relational databases. Solid grounding in statistical analysis, hypothesis testing, and feature engineering. Familiarity with data visualization tools like Matplotlib, Seaborn, or Plotly. Demonstrated ability to work with large datasets and solve complex analytical problems. Excellent communication and data storytelling skills. Knowledge of Marketing Mix Modeling is a plus. Preferred Skills Hands-on experience with cloud platforms like AWS, Azure, or GCP. Exposure to big data technologies such as Hadoop, Spark, or Databricks. Familiarity with NLP, computer vision, or deep learning. Understanding of A/B testing and experimental design methodologies. Show more Show less