Infogain is a human-centered digital platform and software engineering company headquartered in Silicon Valley. We specialize in engineering business outcomes for Fortune 500 companies and digital natives across various industries including technology, healthcare, insurance, travel, telecom, and retail & CPG. Leveraging cutting-edge technologies such as cloud, microservices, automation, IoT, and artificial intelligence, we drive experience-led transformation in digital platform delivery. As a Microsoft Gold Partner and Azure Expert Managed Services Provider (MSP), Infogain is committed to delivering excellence. We have a global presence with offices and delivery centers in the US, UK, UAE, Singapore, and India.
Experience. 4.5-6 Years
Roles & Responsibilities
- Apply statistical and probability theory to analyze complex data sets and provide actionable insights.
- Develop, implement, and maintain machine learning models and algorithms to solve business problems.
- Utilize programming languages such as Python, R, or SQL to build and deploy data solutions.
- Create compelling visualizations and dashboards using tools like Tableau or PowerBI to communicate findings to stakeholders.
- Conduct data cleaning and preprocessing to ensure data quality and accuracy.
- Analyze data to identify trends, patterns, and anomalies, providing recommendations for business improvements.
- Collaborate with cross-functional teams to understand data needs and deliver solutions aligned with business objectives.
- Stay current with industry trends and advancements in data science, machine learning, and big data technologies.
Core Skills
- Strong knowledge of statistics and probability theory.
- Proficiency in at least one programming language such as Python, R, or SQL.
- Experience with data visualization tools like Tableau or PowerBI.
- Understanding of machine learning algorithms and models.
- Knowledge of data cleaning and preprocessing techniques.
- Experience with data analysis and interpretation.
Skills
- Primary Skill. Data Science
- Sub Skills. Data Science, Python (Data Science), Pyspark
- Additional Skills. Data Modeling, Big Data, AI/ML Development
Qualifications
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
- Proven experience in a data science role with a focus on statistical analysis, machine learning, and data visualization.
- Strong problem-solving skills and ability to work with complex data sets.
- Excellent communication skills with the ability to present data-driven insights to non-technical stakeholders.
What We Offer
- Opportunity to work with cutting-edge technologies and contribute to innovative projects.
- A collaborative and dynamic work environment.
- Competitive salary and benefits package.
- Professional growth and development opportunities.
How to Apply
If you are passionate about data science and eager to make a significant impact, we would love to hear from you. Please submit your resume and cover letter.