The primary objective of this role is to extract business value from the JLLT Facilities Management data and contribute to embed intelligence in our products that drive superior business outcomes for our customers.
This professional will deliver Business Intelligence (BI) as well as Analytics and Artificial Intelligence (AI) capabilities in partnership with Sales, Marketing, Engineering, and other team members.
This data scientist will consult with decision makers, subject matter experts, and other stakeholders to understand the business questions and identify the most appropriate method for each problem.
Then work with the appropriate partners to identify and extract the required data, design the BI / AI solution, and implement it.
The job entails a wide range of data-related hands-on activities starting with data extraction and preparation and ending with the validation and presentation of results.
Key Responsibilities :
Consult with clients, partners, and stakeholders. Understand business needs and challenges. Advice on BI / AI strategies applied to Facilities Management, Maintenance, and Real Estate.
Develop requirements and benefit / cost estimates for BI / AI solutions.
Deliver high-impact BI solutions including dashboards, visualizations, and extensions.
Deliver high-quality, action-oriented, compelling recommendations and insights for decision makers based on descriptive, predictive and prescriptive analytics.
Deliver models and complex data analyses using rigorous statistical methodologies, machine learning algorithms, and AI techniques.
Collaborate with and provide support to the productizing / operationalization of intelligence.
Find, collect, explore, validate, and prepare the data for analysis. Responsibilities would include querying, scraping, loading, validating, cleaning, aggregating, transforming, detecting outliers, imputing missing values, developing features, and scripting these processes.
Develop processes that automate the extraction, preparation, and analysis of data in order to deliver reproducible results and reusable components.
Thoroughly validate quality of outputs and perform peer review for other team members.
Manage projects, ongoing requests, and resolve issues in order to ensure delivery on time and according to specifications.
Research options, methodologies, technologies, and tools required for projects.
Strive for excellent service delivery and development of both hard and soft-skills.
Help and coach junior data scientists / analysts in the team.
Preferences : Power BI, Tableau
Power BI, Tableau
Job Responsibilities :
Required Skills :
Excellent quantitative, analytical, and problem-solving skills.
Team player able to collaborate effectively in large cross-functional projects.
Client orientation, business acumen, and execution skills to drive superior business results.
Experience using data to answer business questions, find new insights, understand drivers, detect potential issues, and make recommendations to decision makers.
Experience developing impactful visualizations, dashboards, and reports.
Knowledgeable about multivariate statistics, statistical modelling, and development of metrics / KPIs.
Knowledgeable about machine learning algorithms and demonstrated experience implementing classification models, regression models, cluster analysis.
Demonstrated experience developing processes to extract, load, and transform data from different types of structured and unstructured sources.
Demonstrated experience developing data-prep processes and feature-engineering pipelines to help feed analytical databases, dashboards, data models, and data analyses.
Knowledgeable about simulation and optimization models.
Highly developed written and verbal communication skills.
Passionate about challenges, quality of work and reputation.
Ability to excel in an intellectually demanding and challenging environment.
Ability to multi-task and deliver outstanding results under time pressure.
Ability to organise time and tasks and communicate risks pro-actively.
Ability to quickly learn new methods, algorithms, techniques, and tools.
Additional Valuable Skills :
Experience with agile methodologies applied to BI and analytics development
Experience delivering near-real time analytics and data streaming processes.
Experience designing the architecture of analytical processes / solutions in a way that accelerates time to market, maximizes reuse, performs well, and ensures quality.
Experience with data architecture, data integration / ETL, and data warehouse implementation in a complex environment.
Experience in Deep Learning models and AI frameworks.
Experience in Text Analytics, NLP, and Natural Language Generation.
Experience in Statistical Process Control.
Experience implementing forecasts accounting for trends, seasonality, and external drivers.
Experience in Operations Research and optimization models (LP, MILP, NLP, GA.)
Experience implementing forecasting models that properly account for trends, seasonality patterns, and external drivers.
Experience with big-data technologies such as Hadoop, Spark, Hive, and similar
Experience with Longitudinal Data Analysis, Discrete Choice Models, and Survey Analysis
Experience with design of experiments and statistical measurement to optimize results
Experience with different types of database technologies (relational, graph, etc.)
Prior consulting experience is advantageous
Master’s or PhD degree advantageous.
5+ years of experience in a data scientist role or performing advanced data science tasks
Experience analysing data to derive actionable intelligence and drive superior business results
Experience working with databases including RDBMS such as Microsoft SQL Server and writing complex SQL queries
Experience working with BI and visualization platforms such as Tableau and Power BI
Experience programming in R, Python, Spark and other relevant languages for data science
Experience with statistical software and modelling such as SAS, SPSS, Rapid or similar
Excellent computer skills including proficiency in MS Excel, Word and Outlook
What We Offer
Exciting Projects : Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment : Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment or even abroad in one of our global centers or client facilities!
Work-Life Balance : GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off on your birthday.
Professional Development : Our dedicated Learning & Development team regularly organizes English classes, professional certifications, and technical and soft skill trainings.
We also offer the chance to travel internationally
Excellent Benefits : We provide our employees with competitive salaries, family medical insurance, extended paternity leave, annual performance bonuses, and referral bonuses.
Fun Perks : We want you to love where you work, which is why we cater breakfast daily and offer discounts for popular stores and restaurants!