We are looking for a talented and experienced Data Scientist to join our dynamic team. As a Data Scientist, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our projects. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems.
Responsibilities
 Data Analysis and Exploration
 o Analyze large, complex datasets to identify trends, patterns, and relationships.
o Conduct exploratory data analysis (EDA) to gain insights and formulate hypotheses.
o Utilize statistical methods and data visualization techniques to communicate findings effectively.
 Predictive Modeling and Machine Learning
 o Handson experience in analyzing and developing forecasting models using timeseries data
 o Develop and deploy predictive models using machine learning algorithms.
 o Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance.
 o Ensure that model always meet the relevant evaluation metrics.
 Data Mining and Pattern Recognition
 o Apply data mining techniques to extract actionable insights from structured and unstructured data.
 o Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize business processes.
 o Implement clustering, classification, regression, and other machine learning algorithms as needed.
 Experimentation and A/B Testing
 o Design and conduct experiments to test hypotheses and validate model assumptions.
 o Implement A/B testing frameworks to evaluate the impact of changes and interventions.
 o Analyze experimental results and provide recommendations for further optimization.
 Collaboration and Communication
 o Excellent story telling and presentation skills
 o Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders.
 o Translate technical findings into actionable insights and recommendations for non-technical audiences.
 o Present findings and proposals in clear, concise, and compelling ways.
Requirements
- Bachelors or Masters in Computer Science or Statistics.
- 3 to 5 years of proven experience in data science, machine learning, or predictive
analytics roles.
- Working knowledge in azure cloud platform is preffered
- Proficiency in programming languages commonly used in data science (e.g., Python
etc).
- Strong understanding of statistical analysis, hypothesis testing, and experimental
design.
- Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit
learn, PyTorch, etc.).
- Familiarity with data visualization tools and techniques (e.g., Matplotlib etc.).
- Excellent problem-solving and analytical skills with attention to detail.
- Effective communication and collaboration abilities in a team environment.
- Ability to manage multiple projects and prioritize tasks effectively.
Benefits
- Competitive salary and benefits.
- Opportunities for high-speed professional growth and development.
- Collaborative and supportive work environment.
- Medical insurance
- OP Allowance
- Statutory Benefits like PF, ESI, LWF, Gratuity
- Training (Technical & Soft skills)