Job Description
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)
