Top Data Science Jobs to Apply for this Weekend

Top Data Science Jobs to Apply for this Weekend
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Analytics Insight has selected the top data science jobs for applying this weekend.

Data science is an essential part of any industry today, given the massive amounts of data that are produced. Data science is one of the most debated topics in the industry these days. Its popularity has grown over the years, and companies have started implementing data science techniques to grow their business and increase customer satisfaction.

Data Scientist at Walmart Global Tech India

Location: Bengaluru, Karnataka

Human-led and tech-empowered since 2002, Walmart global tech delivers innovative solutions to the biggest retailer in the world – Walmart. By leveraging emerging technologies, they create omnichannel shopping experiences for their customers, across the globe and help them save money and live better. The company is looking for an IN4 Data Scientist for Ad-tech. The position requires skills in building Data Science models for online advertising.

Apply here.

Business Intelligence Analyst at Ranstad Offshore Services

Location: India

Position Objective

The purpose of this role is to partner with the Regional and global BI customers within RSR (who can include but are not limited to Data engineering, BI Support Teams, Operational Teams, Internal teams, and RSR clients) and provide business solutions through data. This position has operational and technical responsibility for reporting, analytics, and visualization dashboards across all operating companies within RSR. This position will develop processes and strategies to consolidate, automate, and improve reporting and dashboards for external clients and internal stakeholders. As a Business Intelligence Partner you will be responsible for overseeing the end-to-end delivery of regional and global account and client BI reporting. This will include working with data engineering to provide usable datasets, create dashboards with meaningful insights & visualizations within our BI solution (DOMO), and ongoing communication and partnering with the 'BI consumers'. The key to this is as a Business Intelligence Partner you will have commercial and operational expertise with the ability to translate data into insights. You will use this to mitigate risk, find operational and revenue-generating opportunities and provide business solutions.

Apply here.

Data Scientist at Salesforce

Location: Hyderabad, Telangana

As the Data Scientist role within the Global Shared Services and Office of Transformation group at Salesforce, you will work cross-functionally with business stakeholders throughout the organization to drive data-driven decisions. This individual must excel in data and statistical analysis, predictive modeling, process optimization, building relationships in business and IT functions, problem-solving, and communication. S/he must act independently and own the implementation and impacts of assigned projects, and demonstrate the ability to be successful in an unstructured, team-oriented environment. The ideal candidate will have experience working with large, complex data sets, experience in the technology industry, exceptional analytical skills, and experience in developing technical solutions.

Responsibilities

• Partner with Shared Services Stakeholder organizations to understand their business needs and utilize advanced analytics to derive actionable insights

• Find creative solutions to challenging problems using a blend of business context, statistical and ML techniques

• Understand data infrastructure and validate data is cleansed and accurate for reporting requirements.

• Work closely with the Business Intelligence team to derive data patterns/trends and create statistical models for predictive and scenario analytics

• Communicate insights utilizing Salesforce data visualization tools (Tableau CRM and Tableau) and make business recommendations (cost-benefit, invest-divest, forecasting, impact analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information

• Partner cross-functionally with other business application owners on streamlining and automating reporting methods for Shared Services management and stakeholders.

• Support the global business intelligence agenda and processes to make sure we provide consistent and accurate data across the organization

• Collaborate with cross-functional stakeholders to understand their business needs, formulate a roadmap of project activity that leads to measurable improvement in business performance metrics/key performance indicators (KPIs) over time.

Apply here.

Associate Data Scientist at Shell

Job Description:

• Gathers data, analyses, and reports findings. Gathers data using existing formats and will suggest changes to these formats. Resolves disputes and acts as an SME, first escalation level.

• Conducts analyses to solve repetitive or patterned information and data queries/problems.

• Works within a variety of well-defined procedures and practices. Supervised progress and results; inform management about analysis outcomes. Works autonomously within this scope, with regular steer required e.g., on project scope and prioritization.

• Supports stakeholders in understanding analyses/outcomes and using them on a topic related to own their areas of expertise. Interaction with others demands influencing and persuasion in a tactful manner to explain and advise on performed analyses of information.

• Job holder identifies shortcomings in current processes, systems, and procedures within the assigned unit and suggests improvements. Analyses propose and (where possible) implements alternatives.

Apply here.

Data Analyst at Myntra

Responsibilities

• Develop analytical models to estimate annual, monthly, daily platform returns and other key metrics and weekly tracking of AOP vs actual returns performance.

• Monitor key OKR metrics across the organization for all departments. Work closely with BI teams to maintain OKR dashboards across the organization

• Work with Business teams (Rev, Mktg, category), etc. on preliminary hypothesis evaluation on returns leakages/inefficiencies in the system (category, rev & pricing constructs, etc.)

• Regular analysis and experimentation to find areas of improvement in returns maintaining a highly data-backed approach Maintain monthly reporting and track of the SNOP process

• Influence various teams/stakeholders within the organization to meet goals & planning timelines.

Qualifications & Experience

• B Tech/BE in Computer Science or equivalent from a tier 1 college with 1-3 years of experience.

• Problem-solving skills – the ability to break a problem down into smaller parts and develop a solution approach with an appreciation for Math and Business.

• Strong analytical bent of mind with strong communication/persuasion skills.

• Demonstrated ability to work independently in a highly demanding and ambiguous environment.

• Strong attention to detail and exceptional organizational skills.

• Strong knowledge of SQL, advanced Excel, R

Apply here.

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