Data Analyst
- Globallogic
- 3 - 5 years
- Noida, Gurugram
- 5 months ago
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Job Description
Description:Data Engineer
Requirements:
Extensive hands-on experience in developing and deploying machine learning and statistical models in production environments
Strong experience in end-to-end ML pipeline implementation including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring
Proficient in working with large-scale structured and unstructured data across multiple sources for exploratory and predictive analytics
Experience with big data tools and platforms (On-Prem or Cloud) for scalable model training and data processing (e.g., Spark, Databricks, Hadoop)
Deep understanding of supervised, unsupervised, and reinforcement learning algorithms with practical application in real-world use cases
Strong expertise in programming languages such as Python and R for data analysis, visualization, and model development
Good understanding of MLOps concepts including model versioning, model governance, and continuous integration/deployment of ML models
Experience using cloud platforms (AWS, Azure, GCP) and associated ML tools and services such as SageMaker, Azure ML, Vertex AI
Solid knowledge of statistical testing, A/B testing, hypothesis testing, and experimental design
Familiar with data governance, data privacy, and compliance aspects of handling personal or sensitive data
Experience with tools like Jupyter, MLFlow, TensorBoard, or equivalent for model tracking and experimentation
Hands-on experience with data visualization tools such as Power BI, Tableau, or libraries like Matplotlib, Seaborn, Plotly
Strong experience with SQL and NoSQL databases for data extraction, manipulation, and analysis
Proven ability to translate complex business problems into data science solutions and present insights to non-technical stakeholders
Experience in collaborating with cross-functional teams including Data Engineers, Product Owners, and Business Analysts
Familiar with version control and source code management tools like Git or TFS
Good exposure to Agile/Scrum methodologies and sprint-based delivery models
Demonstrated mentorship and technical leadership in guiding junior data scientists or analysts
Strong analytical, logical thinking, and quantitative skills
Takes ownership of outcomes and delivers with accountability
Effective communication skills with a keen ability to explain technical concepts to business users
Quick learner, self-driven, and passionate about data and innovation
Job Responsibilities:
ML model development, data preprocessing, feature engineering, ML pipelines, big data tools (Spark, Databricks), supervised/unsupervised learning, Python/R, MLOps, cloud platforms (AWS SageMaker, Azure ML), statistical testing, A/B testing, data governance, data privacy, Jupyter, MLFlow, data visualization (Power BI, Tableau), SQL/NoSQL, problem-solving, cross-functional collaboration, Git/TFS, Agile/Scrum, mentorship, communication, ownership, quick learner, data-driven innovation
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!
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Data AnalystEmployement Type: Full timeContact Details:
Company: GloballogicLocation(s): Noida, Gurugram
Keyskills: kubernetes algorithms analytical hypothesis testing docker sql data extraction git statistical modeling mysql shell scripting end hadoop mongodb programming jira communication skills snowflake python power bi machine learning nosql tableau r ab testing grafana nosql databases
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Globallogic
GlobalLogic is a full-lifecycle product development services leader thatcombines deep domain expertise and cross-industry experience to connectmakers with markets worldwide. Using insight gained from working on innovative products and disruptive technologies, we collaborate with customers to...
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