Job Title: Data Scientist
Experience:
4-7 Years
Notice
Period: Immediate-15 days
Location: Bangalore
JD:
Key
Responsibilities:
· Develop and implement time series
forecasting models for Project 2, leveraging historical data and advanced
statistical techniques.
· Apply NLP techniques for Project 1,
including sentiment analysis, topic modeling, and text classification, to
extract insights from unstructured data.
· Utilize Python programming for data
manipulation, analysis, visualization, and model development.
· Leverage PySpark for big data
processing, distributed computing, and scalable ML pipelines.
· Deploy ML models using GCP (Google
Cloud Platform) or other cloud platforms, ensuring scalability, reliability,
and performance.
· Apply ML algorithms and techniques
to solve complex business problems and optimize processes.
· Communicate effectively with clients
to understand project requirements, present findings, and provide actionable
recommendations.
· Thrive in a high-pressure
environment, prioritize tasks efficiently, and deliver results within tight
deadlines.
Skills and
Qualifications:
· Bachelor's or Master's degree in
Computer Science, Statistics, Mathematics, or related field.
· Proven experience in time series
forecasting, with a focus on building accurate and scalable models.
· Strong expertise in NLP techniques,
including text preprocessing, feature extraction, and model training.
· Proficiency in Python programming
and data science libraries (e.g., Pandas, NumPy, Scikit-learn).
· Experience with PySpark for big data
processing, data manipulation, and ML model development.
· Knowledge of cloud platforms such as
GCP, AWS, or Azure for model deployment and infrastructure management.
· Solid understanding of machine
learning algorithms, including supervised and unsupervised learning techniques.
· Excellent communication skills to
interact with clients, stakeholders, and team members effectively.
· Ability to work under pressure,
manage multiple projects simultaneously, and deliver high-quality results on
time.
Preferred
Qualifications:
· Experience with time series analysis
tools and libraries (e.g., Prophet, ARIMA, LSTM).
· Familiarity with deep learning
frameworks (e.g., TensorFlow, PyTorch) for advanced ML tasks.
· Knowledge of model monitoring,
evaluation, and optimization techniques.
· Previous experience working in a
consulting or client-facing role.
· Certifications in data science,
machine learning, or cloud platforms.
· Strong problem-solving skills and a
proactive mindset to drive innovation and continuous improvement.
V 0.0.1