Data AI | Data Scientist IRC238166 Full-time

Description:

Proficiency in programming languages such as Python, R, or SQL.
Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
Knowledge of big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, Google Cloud).
Familiarity with database systems, both relational and NoSQL.

Requirements:

Education: Master’s degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Experience: 6 plus years of experience in data science, analytics, and machine learning.

Technical Expertise:

• Proficiency in programming languages such as Python, R, or SQL.
• Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Knowledge of big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, Google Cloud).
• Familiarity with database systems, both relational and NoSQL.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to explain complex technical concepts to non-technical stakeholders.
• Strong project management and organizational skills.

Required Skills:

• Proficiency in programming languages such as Python, R, or SQL.
• Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Knowledge of big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud).
• Familiarity with database systems, both relational and NoSQL.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to explain complex technical concepts to non-technical stakeholders.
• Strong project management and organizational skills.
• Experience with Agile methodologies and software development lifecycle.
• Proven ability to deliver data-driven insights and solutions.
• Experience in leading data science projects and teams.

Other Requirements:

• Experience with Agile methodologies and software development lifecycle.
• Proven ability to deliver data-driven insights and solutions.
• Experience in leading data science projects and teams.

Job Responsibilities:

Data Analysis:

Collect, clean, and preprocess data from various sources.
Perform exploratory data analysis to uncover patterns, correlations, and insights.
Develop and implement statistical models and machine learning algorithms to solve business problems.

Model Development:
Design, build, and validate predictive models and machine learning solutions.
Optimize model performance through parameter tuning and feature engineering.
Implement and deploy machine learning models in production environments.

Data Visualization:
Create compelling data visualizations to communicate insights and findings.
Develop dashboards and reports to monitor key metrics and performance indicators.
Present data-driven recommendations to stakeholders and decision-makers.

Collaboration:
Work closely with cross-functional teams, including data engineers, software developers, and business analysts.
Collaborate with stakeholders to understand business requirements and objectives.
Provide technical guidance and mentorship to junior data scientists and team members.

Continuous Improvement:
Stay updated with industry trends, tools, and best practices in data science and machine learning.
Evaluate new tools and technologies to improve data analysis and model development processes.
Drive initiatives for continuous improvement and innovation in data science practices.

What We Offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment – or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About GlobalLogic
GlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise-we help our clients imagine what’s possible, and accelerate their transition into tomorrow’s digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries. GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.