Your Impact:
- Perform hands-on analysis of large volumes of financial, transactional, marketing and customer data
- Understand the business context, ask the right questions and articulate the project scope
- Formulate an ML problem, analyze/explore/identify relevant data, apply various methods for feature modeling, and leverage suitable ML algorithms
- Explain the logic and reasoning behind the ML models, and suggest the best strategy, algorithm or techniques for a particular problem
- Put theory into practice in thoroughly hands-on ways by writing code, building visualizations and fine-tuning existing algorithms
- Active involvement in thought leadership and data science competitions is a big plus
- Examples include published articles in reputed journals and participation in Hackathon and data science competitions such as Kaggle
Your Skills & Experience:
- Solid understanding of:
- the data science domain, plus some experience in building prediction models
- applied statistics, such as probability distributions, measures of dispersion and central tendency, hypothesis testing and statistical inferences
- data visualization patterns, plus familiarity with one or more data visualization tool / library such as Tableau, R Shiny or Seaborn
- Familiarity with:
- machine learning algorithms, such as k-NN, Naive Bayes, SVM, Random Forest, Linear Regression, ARIMA, Neural Nets and deep learning
- one or more data science toolkits, such as Azure ML, AWS ML, R, scikit-learn, Matlab, Rapidminer and SAS
- Nice to have knowledge of:
- Big Data platforms like Hadoop: Hive, Pig, Spark, etc., as well as NoSQL DBs like MongoDB, Cassandra and HBase
- traditional business intelligence (BI) and data warehousing
- Excellent oral and written communication, presentation and analytical skills
- 0 - 3+ years overall experience
Benefits of Working Here:
- Unlimited paid time off in the US – great work-life balance
- Flexible work environment and casual dress code
- 15 paid holidays annually, plus a paid day of public service
- Awesome benefits – health, dental, vision and life
- Company discounts and tuition reimbursement
Your Education:
- Bachelor’s or Master’s in Mathematics, Statistics, Physics, Engineering, Bioinformatics, Computer Science and other areas where machine learning or deep learning are applied
- Formally educated in data science
Publicis Sapient is an Equal Opportunity Employer.
As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicissapient.com, or you may call us at +1-617-621-0200.
