Assistant Manager, Data Science Job Vacancy in Unilever Mumbai, Maharashtra – Updated today

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Company Name : Unilever
Location : Mumbai, Maharashtra
Position :

Job Description : Location: Mumbai
Work Level: WL1
Reporting: Reports to Sr. Data Scientist- South Asia
ABOUT UNILEVER:
Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life – giving us a unique opportunity to build a brighter future.
Every individual here can bring their purpose to life through their work. Join us and you’ll be surrounded by inspiring leaders and supportive peers. Among them, you’ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work tomake a real impact on the business and the world, we’ll work to help you become a better you.
Data & Analytics in Unilever:
For Unilever toremain competitive in the future, the business needs to continue its path to become data intelligent. The Information and Analytics team is responsible for building data, data science and analytics as a core capability to help the business become data intelligent and drive business and organization performance. The team will deliver advanced products at scale and work closely with the market teams to ensure that decisions in Unilever are augmented with insight & recommendations wherever possible.
There are five major themes to the Information and Analytics strategy:
Deliver Intelligent systems at scale. Powering Business (cross functional), Customer Development area & Supply Chain through data and analytics. Building out the right applications to enable business teams to move faster, with more accurate and future looking decisions leveraging Big Data & Data Science
Winning disproportionately in Markets. We believe that the best way to move the needle for Unilever in
Analytics is to work with leading geographies to create analytics products that make a significant impact on our business
Drive Unilever to assisted and predictive decision-making. The future is about assisted decision-making with machines (AI/Cognitive Computing/Machine Learning) unlocking the insights from vast deluge of consumer, customer & internal data, and presenting this in a way that is simple for our teams.
Make data a true asset. Better data and data scienceaccessfor every part of Unilever, across the 3 -data
framework (Connectivity, Growth, Continuous Improvement) and leading through the Enterprise Data Executive.
World-class Information: One Version of the Facts. Continued excellence in delivery of diagnostics and insights tofocus attention when and where it matters with a focus on Big Bets, Strategic Initiatives and Leadership teamreporting
We are looking to hire a Data Scientist, Unilever for the in-market team in South Asia.
This is an exciting role in the Data & Analytics team partnering the 2nd largest Unilever business HUL. Unlocking growth, consumer and customer value while driving efficiencies and building future ready capabilities using business analytics, ML & AI is core to what we do everyday!
Your Team: The Data & Analytics In-Market team helps our Unilever businesses win competitively in market using data, data science, and analytics. We leverage Our close engagement/ relationship with brands, marketing, supply chain and customer development leadership with a (highly technical) data science team to solve for both large transformation programs and near-term business problems. The team is composed of business interpreters, data scientists, and data experts who can: quickly understand the business context + problem, apply advanced mathematics and/or statistics to large data sets; and operate in cloud based environments where data, models, and user interfaces reside in the same platforms-core technologies
Job description of the role:
Works with business teams to fully understand the business problem and how to deliver relevant insights that lead to actions. Gathers, analyses, and models data to solve complex business problems. Builds Diagnostic and Predictive Models to solve the business problem applying range of techniques across classical statistics, Machine Learning (incl. deep learning).
Power fast paced analytics experimentation (50% of time) through hands on data science solution building and creative approaches to solve ‘one of a kind’ problems.
Once proven industrialize the analytics solution (50 % of time) in partnership with the central data science hub with emphasis on (i) tuning the model for high accuracy (ii) coding it for optimal speed and scale
Support the Head of Data & Analytics in evangelizing the use of Data Science in business decisions. Help accelerate the organization journey to become fully data literate and digitally savvy.
Key Accountabilities:
Build data-science and algorithmic solutions to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics
Perform exploratory and targeted data analysis using descriptive statistics and other methods
Drive new value from insights from connecting external and internal data sources
The position is an individual contributor role working closely with the Data engineers, Business Analyst, Supply Chain CoE and HUL Data & Analytics team. This position is expected to be ‘hands on’ applying own data science skillsets. This role will also manage third party resources as required.
Relevant Experience:
B.S. or M.S. in a relevant technical field (Operations Research, Computer Science, Statistics, Business Analytics, Econometrics, or Mathematics). Analytical Development experience of 3+ years preferred.
Strong track record in solving analytical problems using quantitative and statistical approaches
Expert knowledge in solving Regression, Classification, and Time Series Problems.
Should be thorough with the concepts of the different types of linear regression models, tree-based models (decision trees, random forest, gradient boosting, XGBoost etc) and forecasting (both univariate and multivariate). Knowledge of kernel-based models (SVM) will also be a plus.
Conceptually sound, if not hands on, in concepts on dimensionality reduction (PCA, SVD, EM) and unsupervised learning.
Expert knowledge working with and coding in Python, R, and SQL. Additional bonus if the person has previously worked with Power BI.
Experience in applied deep learning (and it’s frameworks like pytorch, tensorflow, caffe) is a plus.
Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources; Ability to work with and process unstructured data (text, speech, and images) will be a plus.
Experienced knowledge working with large data sets, experience working with distributed computing tools a plus (Spark, Hadoop, Hive)
Experience of working with columnar databases is a plus
Passion for empirical research and for answering hard questions with data
Passion for reading research papers and implementing the same in real world problems
Any public profile rank on any data science hackathon portal (Kaggle, Analytics Vidhya etc.) would be a bonus.
Ability to communicate complex quantitative insights in a precise, and actionable manner
Strong communication skills and ability to work with peers and demonstrate vertical and lateral influence.

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