As a Senior Data Scientist at Infogain, you will be a key player in our data-driven journey, leveraging advanced analytics to unlock insights and drive strategic decision-making. You will work in a dynamic and collaborative environment, applying your expertise in data science, machine learning, and statistical modeling to solve complex business problems and deliver actionable solutions.

Roles & Responsibilities

As a Senior Data Scientist, you will be at the forefront of transforming raw data into actionable insights, driving strategic decisions and business growth. Your responsibilities will encompass.

1. Data Exploration and Preparation. Dive deep into complex datasets to understand their structure, quality, and potential insights. Cleanse, preprocess, and manipulate data to ensure its suitability for analysis and modeling purposes.
2. Advanced Analytics. Apply advanced statistical techniques and machine learning algorithms to extract meaningful patterns, trends, and correlations from data. Develop sophisticated models for predictive analytics, classification, clustering, and recommendation systems.
3. Model Evaluation and Optimization. Rigorously evaluate model performance using appropriate metrics and validation techniques. Continuously refine and optimize models to enhance accuracy, robustness, and scalability.
4. Data Visualization and Storytelling. Create compelling visualizations and interactive dashboards to communicate key findings and insights to diverse audiences. Craft narratives that transform data into actionable stories, influencing strategic decision-making at all levels of the organization.
5. Cross-functional Collaboration. Collaborate closely with business stakeholders, domain experts, and engineering teams to understand business requirements, define analytical objectives, and translate them into practical solutions. Act as a trusted advisor, guiding stakeholders on the use of data-driven insights to drive business outcomes.
6. Research and Innovation. Stay abreast of the latest advancements in data science, machine learning, and related fields. Proactively explore new techniques, tools, and methodologies to solve complex business problems and drive innovation within the organization.

Skills

Primary Skill

Data Science. Proficient in statistical analysis, machine learning, and data mining techniques, with a proven track record of delivering impactful insights and solutions.

Sub Skill(s)

Python. Strong programming skills in Python, including libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow/Keras for data manipulation, modeling, and deep learning.

Additional Skill(s)

1. Data Modeling. Expertise in designing and implementing data models to represent complex business domains and support analytical requirements.
2. Big Data Technologies. Familiarity with big data technologies such as Hadoop, Spark, and distributed computing frameworks for processing and analyzing large-scale datasets.
3. Domain Knowledge. Deep understanding of the business domain and industry-specific challenges, enabling the application of data science techniques to address relevant business problems.
4. Communication and Collaboration. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders.
5. Problem-solving and Critical Thinking. Strong analytical and problem-solving skills, with a focus on developing innovative solutions to challenging problems and driving continuous improvement.

Join our dynamic team and be part of a culture that values creativity, collaboration, and excellence in leveraging data to drive business success!