- Data exploration, analysis, visualization, and presentation
- Analyse and interpret trends or patterns in data sets
- Use a variety of data tools, build and implement models, create algorithms and run simulations
- Knowledge on methodologies to clarify business requirements including design thinking, business process design, personas, user stories, etc.
- Use analytical, statistical, and programming skills to collect, analyze, and interpret large data sets
- Technical expertise in developing data models (prediction & forecasting models), data wrangling, data mining, and segmentation techniques
- An excellent team player, balanced with strong autonomy and high motivation to produce individually
- Someone open to new ideas and innovative in approach
- Proactively learns new technologies and pushes for driving the same in his/her space of work.
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Advisor - Pune, India - Maersk
Description
Job Description
: Data Science AnalystRole: Data Analyst
Work Experience: 5+ years' experience
Key Skills: 3+ years of experience as data science analyst or Machine learning engineer.
Should have hands-on experience with Machine learning algorithms and models, statistical modeling, visualization techniques, and data sciences concepts.
Should have strong proficiency in Python/R or any other analytical tool.
Hands-on experience with libraries such as NumPy, Pandas, Seaborn, NLTK, etc.
Should be experienced in SQL and operated on new-age technologies like Azure, Teradata, Power BI, etc.
Key Responsibilities:
Business & Technical Skills:
General Skills:
Qualifications:
Master's degree in statistics, Maths or computer science.
Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
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