Data Scientist
Data Scientist at consulting firm Thoucentric in Bangalore, building machine learning and deep learning models for client business problems with a strong focus on time series forecasting. Core stack: Python with NumPy, Pandas, scikit-learn, TensorFlow/PyTorch; 3-8 years of experience required.
- Compensation
- Not disclosed
- Location
- Bengaluru, India
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data science
- Posted
Skills
Must have
- 3-8 years of hands-on experience in data science, machine learning, and statistical modelling
- Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.)
- Familiarity with deep learning frameworks (TensorFlow, PyTorch)
- Excellent programming skills in Python (preferred)
- Proficiency in libraries such as NumPy, Pandas, scikit-learn
- Proficiency in visualization tools (Matplotlib, Seaborn, Plotly)
- Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods
- Experience with data preprocessing, feature engineering, and model evaluation
- Ability to learn quickly and adapt to new technologies, tools, and methodologies
- Strong problem-solving skills and keen attention to detail
- Excellent communication and presentation skills
Nice to have
- Experience with cloud platforms and MLOps tools
- Exposure to big data technologies (Spark, Hadoop)
- Master's degree in Computer Science, Statistics, Mathematics, or a related field
Full description
Job Title: Data
Scientist (3-8 Years Experience)
Location: Bangalore
About Us:
Thoucentric is a
forward-thinking organization at the forefront of leveraging data-driven
insights to solve complex business challenges. We are seeking a passionate and
skilled Data Scientist to join our dynamic team and help us drive innovation
through advanced analytics and machine learning.
Key Responsibilities:
- Develop
and implement machine learning and deep learning models for various business problems, with a strong focus on time
series forecasting.
- Analyze
large, complex datasets to extract actionable insights and identify
trends, patterns, and opportunities for improvement.
- Design,
build, and validate predictive models using state-of-the-art
techniques, ensuring scalability and robustness.
- Collaborate
with cross-functional teams (Product, Engineering, Business) to
translate business requirements into data science solutions.
- Communicate
findings and recommendations clearly to both technical and
non-technical stakeholders.
- Stay
updated with the latest research and advancements in machine
learning, deep learning, and time series analysis, and proactively apply
new techniques as appropriate.
- Mentor
junior team members and contribute to a culture of continuous
learning and innovation.
Requirements
Required Skills &
Qualifications:
- 3-8
years of hands-on experience in **data science, machine learning,
and statistical modelling.**
- Strong
expertise in **time series forecasting (ARIMA, XGBoost,
RandomForest, TFT, NHITS, etc.) and familiarity with deep learning
frameworks (TensorFlow, PyTorch**).
- Excellent
programming skills in Python (preferred), with proficiency in **libraries
such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib,Seaborn, Plotly**).