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8 Neostats Analytics Solutions Jobs

Data Scientist

3-7 years

Bangalore / Bengaluru

1 vacancy

Data Scientist

Neostats Analytics Solutions

posted 4hr ago

Job Description

About us: NeoStats Analytics is a new age Data &Analytics consulting firm offering contemporary solutions and infinite possibilities.
Our mission is to create a lasting competitive advantage for our clients by transforming them to world-class, data driven organizations.
Established in 2022 to provide End to End Data, Analytics & AI Services, we are headquartered out of UAE, with bases in India & UK.
Comprising of industry veterans, we enable Data and Analytics transformations powered by our expertise in Data Engineering, Analytics and Generative AI, true partnership and ?Data to Value? approach.
For details refer to: https://neostats.
ai/.
Job Title: Data Scientist (3-5 Years) Merchandising Analytics.
Job Role: To define, develop & support analytical solutions, across Supply chain and Pricing for different business units of Landmark Group (LMG).
The recruit will be working out of Bangalore office with key business stakeholders around planning buying and finance to ensure right product at right place in right price.
Develop predictive model or rule-based algorithm to correctly analyze the demand of the product, corresponding price, and optimal discount to achieve business goal.
Responsible to come up with methodologies or ideas to solve a business problem and can define the success criteria.
Manage end to end project delivery and ensure quality, timeliness, and accuracy of the output.
Keep abreast of industry trends and emerging methodologies to continuously improve skill set around merchandising analytics.
Design and create the presentation that will be presented to C-level members of the business.
Responsible to get involve in various mentorship initiatives to improve the skill set of the junior team members.
Desired Skills and Experience: Bachelors or masters degree in any quantitative discipline.
Candidates from Economics, Statistics, Operations Research or Mathematics background from reputable institutions will be preferred.
Mandatory Skills -Python ,SQL, Power BI ,Merchandising ,Inventory ,Supply chain along with statistic and modelling Experience.
Experience of working in areas of retail like supply chain, pricing, assortment, space is preferred.
Expertise in programming language such as Python, SQL/SAS is a must.
Expertise in predictive analytics techniques around classification or regression, Time Series, Tree-based algorithms, model assembling techniques and Optimization.
Expertise in visualization tools such as QlikView, Tableau, Power BI etc Experience in working in cloud platform like Azure.
Should have basic idea of working on product application.
Excellent verbal and written presentation skills.
Attention to detail and ability to work in high pressure environment.
Strong Drive and passion to deliver business impact through retail Analytics.
Strong business acumen and ability to translate data insights into meaningful business recommendations.
Open to Travel (up to 20%) on need basis.
What we offer: Competitive Salary and Benefits.
Opportunity to be part of a fast-paced and growing startup.
Grow your career with.
Ownership You will own your initiative and be given specific responsibilities.
Continuous coaching & mentoring You will have the opportunity to interact and work closely with other Senior data professionals and AI experts across the globe.
Dynamic and respectful work environment we truly value you!.
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Employment Type: Full Time, Permanent

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What people at Neostats Analytics Solutions are saying

Data Scientist salary at Neostats Analytics Solutions

reported by 2 employees with 1-5 years exp.
₹9 L/yr - ₹11.5 L/yr
28% less than the average Data Scientist Salary in India
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What Neostats Analytics Solutions employees are saying about work life

based on 3 employees
100%
100%
100%
Strict timing
Monday to Friday
No travel
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Neostats Analytics Solutions Benefits

Free Transport
Child care
Gymnasium
Cafeteria
Work From Home
Free Food +6 more
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