data science analyst

McKinsey & Company

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 As a Data Science Analyst you will work with the Insights &amp; Analytics group and consulting teams at McKinsey, helping solve analytically complex client problems in the marketing domain, applying and administrating analytical/modeling tools and techniques and drawing insights through statistical techniques and predictive modeling.
 
 
 The primary role of the Analyst will be client service with additional responsibilities in knowledge development.
 
 
 
 Your key activities as a Data Science Analyst will include
 
 : performing general statistical analysis and modeling in client engagements for marketing efforts; developing statistical models to measure and optimize pricing and promotions; providing guidance to teams on analytics projects related to technique/modeling related issues; supporting development and maintenance of proprietary McKinsey marketing techniques and other knowledge development projects; coaching and mentoring new hires by sharing business, functional and technical expertise; and delivering high quality end products on time, performing quality checks wherever required.
 
 
 You&rsquo;ll work with Growth, Marketing &amp; Sales team in Gurgaon/Bengaluru primarily supporting the Insights &amp; Analytics (IA) group of GM&amp;S.
 
 
 Growth, Marketing &amp; Sales team leverages decades of McKinsey&rsquo;s marketing and sales experience helping leading companies improve pricing, promotion, assortments, and performance management. The combination of software, tailored services, and expertise provides our clients with a granular view of their commercial and financial performance by gathering and integrating their landscape of data and information into a central data warehouse. Clients can use our intuitive interface to make decisions based on advanced analytics and can embed new pricing, commercial, and performance management capabilities throughout their organization.
 
 
 GM&amp;S Solutions fosters innovation driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into our client work. It is helping to shift our model toward asset-based consulting and is a foundation for &ndash; and expands our investment in &ndash; our entrepreneurial culture. Through innovative software as a service solution, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey.
 
 
 As one of the fastest-growing parts of our firm, McKinsey Solutions has more than 1,000 dedicated professionals (including more than 800 analysts and data scientists) and we&rsquo;re hiring more mathematicians, data scientists, designers, software engineers, product managers, client development managers and general managers.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in disciplines such as computer science, applied statistics, mathematics, engineering, or related fields
 </li>
 <li>
 2+ years of deep technical experience in advanced analytics, statistics, and machine learning
 </li>
 <li>
 Hands-on experience in building, training, and optimizing predictive models, with the ability to interpret and evaluate results
 </li>
 <li>
 Knowledge of hypothesis testing and experimental designs (e.g., A/B testing) is preferred, as these are often used for investigations and recommendations
 </li>
 <li>
 Advanced expertise in Python, with strong command over key libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn; familiarity with Kedro is a plus
 </li>
 <li>
 Proven ability to work efficiently with large datasets, including tasks such as data cleaning, transformation (feature engineering), and analysis, while ensuring data quality and integrity
 </li>
 <li>
 Proficiency in SQL, with the ability to write intermediate-level queries for data extraction and transformation
 </li>
 <li>
 Strong understanding of cloud platforms, particularly AWS and/or Azure Databricks
 </li>
 <li>
 Familiarity with data visualization tools such as Tableau or Power BI, as well as version control systems like Git, is highly desirable
 </li>
 <li>
 Intermediate expertise in Excel, not only for presenting outputs but also for building basic models to support scenario analysis and decision-making
 </li>
 <li>
 Excellent presentation and communication abilities, with the capacity to explain complex analytical concepts and insights to both technical and non-technical audiences
 </li>
 </ul>
</div>

Data Science Analyst - Periscope

The Cigna Group

<div>OVERVIEW: 
A career within Forsyth Health&rsquo;s Product team will provide you with the opportunity to help 
Pharma/Life Science organizations uncover patient and market insights. At Forsyth Health, we 
focus on a collection of data management, business intelligence and advanced analytics and 
data science capabilities to support various functions within these organizations to meet their 
business needs around market access and patient support programs. 
How you'll make a difference: 
The Data Science Lead Analyst role is a crucial role to the development of evaluation processes 
of output extracted from unstructured data which will lead to the broadening of our product 
development space. As a strong individual contributor, the role will engage in product 
development efforts using best practices in web development. Responsibilities include setting 
up an internal web development framework that allows for the quick spin up of evaluation 
processes, this includes processes with varied requirements, and the maintenance of 
framework. This role will work closely with the internal Technology to make sure the 
framework adheres to security and practices of Forsyth Health.<div> 
Role Summary: 
The Data Science Lead Analyst position is an opportunity for a data scientist/software engineer 
to strengthen web development workflows, establish crucial evaluation processes, and 
meaningfully impact the development of the Forsyth Enterprise Data Model. The job 
responsibilities include, but are not limited to the following: 
<ul><li>Write, test, and deploy software applications that will help propel the evaluation of</li></ul>
models created from unstructured data. 
<ul><li>Collaborate with data engineers to understand back-end capabilities.</li><li>Work with other cross-functional teams to gather and refine requirements for various</li></ul>
evaluation initiatives. 
<ul><li>Efficiently query multiple data types (medical and pharmacy claims, EMR, lab,</li></ul>
chargemaster) as needed to gain a deeper understanding of patient / clinical activity 
from Forsyth data to validate and further refine NLP/ML models and output. 
<ul><li>Create and maintain technical documentation for full-stack development.</li></ul></div><div>
Qualifications: 
<ul><li>3-5 years of experience in software engineering. Bachelor&rsquo;s degree in a related field</li></ul>
preferred. 
<ul><li>Excellent programming skills in languages like JavaScript, TypeScript, Python, SQL, etc.</li><li>Advanced knowledge in web development tools such as React.js, Django, etc.</li><li>Experience with cloud computing platforms and development tools such as Azure</li></ul>
Databricks, Azure Data Lake, AWS, etc. 
<ul><li>Demonstrated attention to detail, ability to compile and analyze information, ensure</li></ul>
code quality and data integrity, and provide resolutions or recommendations for 
improving operational processes. 
<ul><li>Excellent communication and presentation skills.</li><li>Desired: experience with NLP models and at least 1-2 years in healthcare data space.</li></ul></div> 

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.
For this position, we anticipate offering an annual salary of 89,700 - 149,500 USD / yearly, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
We want you to be healthy, balanced, and feel secure. That&rsquo;s why you&rsquo;ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you&rsquo;ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group.
About Evernorth Health Services
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.
The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.</div>

Data Science Lead Analyst - Cigna Healthcare- Remote

Ingeniworx Business Solutions

Title: Senior Data Analyst Location: Hybrid(3 days Onsite per week) - Viman Nagar,PuneWe are seeking for our client company a Senior Data Analyst to join a growing team of data analytics professionals and contribute to a best-in-class Data Analytics Center of Excellence. This role will be part of a diversified analytical team focused on expanding new and emerging data science and predictive methodologies.The Senior Data Analyst will provide strategic market insights that enable effective, data-driven decision-making, while remaining closely aligned with the enterprise's strategy and priorities.As a senior member of the team, you will design and maintain analytics solutions, mentor junior and mid-level analysts, and deliver outcomes of moderate to advanced complexity that directly influence business growth.Responsibilities<ul><li>Partner with business leaders to understand goals and provide data-driven solutions to expand markets, grow revenue, and drive strategic decision-making.</li><li>Enhance existing predictive analytics work products and develop new models, workflows, and visualizations to analyze complex business issues.</li><li>Identify, enrich, and manage valuable internal and external data sources to strengthen insights.</li><li>Develop and implement dashboards, reports, and visualizations for both internal and external stakeholders.</li><li>Collaborate with IT, Data Warehouse, IT Security, vendors, and contractors to meet enterprise-wide data needs.</li><li>Stay current on new trends, technologies, and methodologies to ensure timely adoption of best practices for competitive advantage.</li><li>Promote a culture of analytics through training, awareness sessions, and events (e.g., &ldquo;data days&rdquo;).</li><li>Ensure transparent communication with stakeholders regarding project progress, challenges, and decisions.</li><li>Mentor junior and mid-level data analysts by providing guidance, support, and thought leadership.</li></ul>Skills &amp; Qualifications<ul><li>Proficiency in data analytics tools/software such as Snowflake, Alteryx, Tableau, Power BI, ArcGIS, or comparable platforms.</li><li>Strong verbal and written communication skills; ability to present technical topics to non-technical stakeholders and vice versa.</li><li>Proven ability to secure buy-in for ideas with a strong metrics-driven mindset.</li><li>Excellent collaboration, team-building, and conflict-resolution skills.</li><li>Experience managing relationships with senior leaders and cross-functional teams.</li><li>Strong analytical mindset with the ability to identify trends, diagnose problems, and propose actionable solutions.</li><li>Decisive, with a sense of ownership and accountability for data and insights delivered.</li><li>Experience leading corporate-wide initiatives, including developing project plans, coordinating resources, and managing implementation.</li></ul>Education &amp; Experience<ul><li>Required: Bachelor&rsquo;s degree (BS/BA) in Business, Statistics, Data Analytics, Computer Science, or a related field.</li><li>Preferred: Degree in Business, Data Science, Statistics, or related disciplines.</li><li>5&ndash;7 years of experience in data modeling, analytics, and business requirements analysis.</li><li>Proven track record of business process improvement using data and statistical methods.</li><li>Demonstrated ability to conduct advanced statistical or mathematical modeling.</li></ul>If interested please share your cv at hr@ingeniworx.com.Job Type: Full-timePay: Up to &#8377;1,200,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Paid time off</li><li>Provident Fund</li></ul>Ability to commute/relocate:<ul><li>Viman Nagar, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Data modeling: 5 years (Required)</li><li>Business Requirement Analysis: 5 years (Required)</li><li>Snowflake: 5 years (Required)</li><li>Tableau: 5 years (Required)</li><li>Power BI: 5 years (Required)</li></ul>Work Location: In person

Senior Data Analyst

Optum

<div>Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. 
Primary Responsibilities:<ul><li>
Collect, clean, and analyze data from various sources</li><li>
Design and maintain data pipelines to ensure data quality and integrity</li><li>
Develop and maintain reports and dashboards in excel and Power BI</li><li>
Utilize SQL and Python and PySpark for data manipulation and analysis</li><li>
Identify trends, patterns, and anomalies in data sets</li><li>
Collaborate with cross-functional teams to understand business requirements and translate them into data solutions</li><li>
Communicate findings and insights to stakeholders through reports and presentations</li><li>
Develop and implement predictive models using machine learning techniques</li><li>
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so</li></ul>
Required Qualifications:<ul><li>
Bachelor's or Master's degree in data science, Statistics, Computer Science, or a related field</li><li>
Proven experience as a Data Scientist/Analyst or similar role</li><li>
Experience with data pipeline design and implementation</li><li>
Proficiency in SQL, Excel, Power BI, Python and PySpark</li><li>
Solid analytical and problem-solving skills</li><li>
Proven excellent communication and teamwork abilities</li></ul> 
Preferred Qualifications:<ul><li>
Experience with Azure cloud platform</li><li>
Experience with data visualization tools like Power BI</li><li>
Knowledge of machine learning frameworks</li></ul> 
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. 
#NIC #NJP</div>

Data Analyst 2

Bristol Myers Squibb

<div>Working with Us 
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. 
 
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . 
 
Summary: 
 
The BI&amp;T Development Data Scientist Analyst position at Bristol Myers Squibb, as part of the Development Data &amp; Analytics team offers a dynamic and meaningful career focused on advancing patient care through innovative data science solutions. The role involves designing and deploying advanced analytics, collaborating with stakeholders, and applying predictive modeling and machine learning to large and diverse datasets. Employees benefit from a supportive work environment with opportunities for growth, flexibility, and comprehensive benefits. 
 
The Development Data Scientist Analyst will play a crucial role in supporting study clinical operational analytics across Drug Development to ensure products continue to serve most pressing DD analytics needs, with opportunities to build new advanced analytics capabilities such as predictive modelling, simulation, and optimization. The Development Data Scientist Analyst should have a strong interest in solving business problems, and an eagerness to work on all parts of the analytics value chain, from partnering with IT on data pipelines to operationalizing predictive models in the service of our patients around the world.
 
 
Responsibilities:<ul><li>
Hands-on Development Data Scientist Analyst that will be expected to ideate, design, develop, model and deploy advanced solutions</li><li>
Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of Drug Development priorities, critical issues, and value levers.</li><li>
Collaborate with stakeholders to identify business problems, goals, and KPIs to design, establish and maintain data pipelines, models and business facing reports and dashboards.</li><li>
Agile problem-solving ability and desire to learn new things and continuously improve</li><li>
Project management skills and the ability to work independently or as part of a team.</li><li>
Understanding of digital analytics tools and platforms and version control.</li><li>
Gather, pre-process and explore large-scale structured and unstructured data from diverse sources.</li><li>
Apply advanced statistical analysis, machine learning algorithms and predictive modelling techniques to extract insights and develop models that drive actionable recommendations</li><li>
Conduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems</li><li>
Develop and implement predictive models (e.g., regression, clustering, time series forecasting) to solve complex business challenges</li><li>
Collaborate with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modeling</li><li>
Communicate complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports and presentations</li><li>
Proficiency in programming languages such as Python and SQL</li><li>
Familiarity with data visualization tools such as React or Power BI for effective communication of findings</li><li>
Excellent problem-solving skills and the ability to think critically and creatively to tackle complex business challenges</li><li>
Excellent communication and presentation skills to convey complex concepts to technical and non-technical stakeholders</li><li>
Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment</li></ul>
Experience:<ul><li>
B achelor's or Master's degree in an analytical, engineering, operations research or scientific discipline.</li><li>
Proven experience (typically 2-4 years) in a data and analytics role, including direct development experience.</li><li>
Experience working with large datasets, data visualization tools, statistical software packages and platforms (specifically React, Python, advanced SQL, Domino, AWS, GitHub, dbt)</li><li>
Strong background in statistical analysis, machine learning, and predictive modelling techniques</li><li>
Experience in handling and analyzing large-scale structured and unstructured data sets using SQL or similar technologies</li><li>
Experience with building and deploying data science and data engineering solutions using established industry methods (MLOps,Git) to Complex datasets is preferred</li><li>
Demonstrated ability to develop and implement predictive models and machine learning algorithms</li><li>
Experience working with complex datasets is highly desirable</li></ul>
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
 
 
Compensation Overview: 
 
Princeton - NJ - US: $87,810 - $106,399
 
 
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
 
 
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
 
 
Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program.
 
 
Uniquely Interesting Work, Life-changing Careers 
With a single vision as inspiring as Transforming patients' lives through science&trade; , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. 
 
On-site Protocol 
 
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
 
 
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
 
 
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.
 
 
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
 
 
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. 
 
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
 
 
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.</div>

BI&T Development Data Scientist Analyst

Circle K

<div>
 
 Job Description
 
 
 
 Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. Circle K India Data &amp; Analytics team is an integral part of ACT&rsquo;s Global Data &amp; Analytics Team, and the Data Scientist/Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT.
 
 
 The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units.
 
 
 _____________________________________________________________________________
 
 
 Department: Data &amp; Analytics
 
 
 Location: Cyber Hub, Gurugram, Haryana (5 days in office)
 
 
 Job Type: Permanent, Full-Time (40 Hours)
 
 
 Reports To: Senior Manager Data Science &amp; Analytics
 
 
 _____________________________________________________________________________
 
 
 
 About The Role
 
 
 
 The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables.
 
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 
 
 Analytics &amp; Strategy
 
 
 
 
 <ul>
 <li>
 Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business
 </li>
 <li>
 Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data
 </li>
 <li>
 Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions
 </li>
 <li>
 Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data
 
 
 </li>
 </ul>
 
 
 Operational Excellence
 
 
 
 
 <ul>
 <li>
 Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project
 </li>
 <li>
 Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems
 </li>
 <li>
 Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses.
 
 
 </li>
 </ul>
 
 
 Stakeholder Engagement
 
 
 
 
 <ul>
 <li>
 Working collaboratively across multiple sets of stakeholders &ndash; Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables
 </li>
 <li>
 Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats
 
 
 </li>
 </ul>
 
 
 Job Requirements
 
 
 
 
 
 
 Education
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
 </li>
 <li>
 Master&rsquo;s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)
 
 
 </li>
 </ul>
 
 
 Relevant Experience
 
 
 
 
 <ul>
 <li>
 3 - 4 years for Data Scientist
 </li>
 <li>
 Relevant working experience in a data science/advanced analytics role
 
 
 </li>
 </ul>
 
 
 Behavioural Skills
 
 
 
 
 <ul>
 <li>
 Delivery Excellence
 </li>
 <li>
 Business disposition
 </li>
 <li>
 Social intelligence
 </li>
 <li>
 Innovation and agility
 
 
 </li>
 </ul>
 
 
 Knowledge
 
 
 
 
 <ul>
 <li>
 Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)
 </li>
 <li>
 Statistical modelling using Analytical tools (R, Python, KNIME, etc.)
 </li>
 <li>
 Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)
 </li>
 <li>
 Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.
 </li>
 <li>
 Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)
 </li>
 <li>
 Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)
 </li>
 <li>
 Big data technologies &amp; framework (AWS, Azure, GCP, Hadoop, Spark, etc.)
 </li>
 <li>
 Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools
 </li>
 <li>
 Business intelligence &amp; reporting (Power BI, Tableau, Alteryx, etc.)
 </li>
 <li>
 Microsoft Office applications (MS Excel, etc.)
 
 
 </li>
 </ul>
</div>

Data Scientist - Customer & Loyalty

Etiya

<div>
 
 We are a community of innovators, dreamers, and doers. We welcome likeminded teamplayers to #ExceedEveryday with us!
 
 
 
 
 
 
 WHO ARE WE?
 
 
 
 
 
 
 We are a global software company with more than 1600 employees in 3 continents, providing AI-driven digital transformation with our award-winning product portfolio.
 
 
 We have offices and customers in Turkiye, Canada, Ukraine, Netherlands, USA, Singapore and UAE and have been recognized and awarded by independent organizations worldwide.
 
 
 Etiya has been awarded with the "Great Place to Work Certificate" for three years in a row. And also Etiya has been listed in the "T&uuml;rkiye&rsquo;s Best Workplaces&rdquo;, "Best Workplaces in Information Technology", "Best Workplaces for Women", &ldquo;Best Workplaces for Millennials&rdquo; and "Innovation by All" by Great Place to Work Turkey.
 
 
 
 
 
 
 WHY ETIYA?
 
 
 
 
 
 
 
 Continuous Improvement
 
 
 
 
 
 
 We contribute to the continuous improvement of our people through extensive technical, leadership and soft skill training. We offer a dynamic work environment with a unique opportunity to work across diverse international projects as an organization rapidly growing in 3 continents.
 
 
 
 
 
 
 Innovative Approach
 
 
 
 
 
 
 We offer an innovative work environment by continuous investment in research and development.
 
 
 
 
 
 
 Friendly Atmosphere
 
 
 
 
 
 
 We offer a flat, open, fun and warm work environment for our employees balancing our commitment to customer success with our focus on personal development, interests and passions.
 
 
 
 
 
 
 QUALIFICATIONS WE ARE LOOKING FOR
 
 
 
 
 
 <ul>
 <li>
 Graduated from Engineering, Computer Science or related departments of universities.
 </li>
 <li>
 At least 5 years of experience working as an analyst in artificial intelligence, data science or software projects.
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 Ability to understand customer needs and transform them into technical requirements.
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 Experience in the management and coordination of projects at GenAI, a predominantly technical solution environment, and projects involving AI, prompt engineering and NLP as specified is required.
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 Prompt Engineering Knowledge.
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 Strong written and verbal communication skills, active listening skills.
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 Analytical thinking and problem solving skills.
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 Knowledgeable about project management processes and tools (Jira, Confluence etc.).
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 Collaborative and teamwork-oriented, solution-oriented approach.
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 Experienced in preparing technical documentation and making presentations.
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 Experienced in artificial intelligence and data analytics projects.
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 Knowledgeable about Agile or Scrum methodologies.
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 </ul>
 
 
 
 
 
 
 
 
 JOB DESCRIPTION
 
 
 
 
 
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 Models and algorithms play a crucial role in understanding whether workflows are applicable on platforms such as GenAI.
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 Especially the analysis of the data collected within the scope of NLP (Natural Language Processing) directly affects the success rate of the model.
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 A good understanding is essential to identify correlations between GenAI projects and NLP outputs.
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 In particular, it is necessary to develop and execute these processes on customised platforms such as GenAI.
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 Communicates effectively with customers and stakeholders to understand complex business problems and identify solution requirements. Utilises different methodologies to accurately identify business and system needs.
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 Their ability to understand business processes and systems and to perform effective analyses is important.
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 Writes business use stories, scenarios and case studies to ensure that technical and functional requirements are clearly understood and correctly utilised in systems where necessary.
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 The ability to understand and document business and system requirements and processes is required. These may include elements such as business requirements documents, system specifications and technical design documents.
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 When new software and updates are tested, this person needs to be knowledgeable and experienced in planning and coordinating user acceptance tests, understanding the results from the tests to determine whether they meet requirements, and identifying where critical errors may exist.
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 Research and analyse solutions to meet the needs of business stakeholders.
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 The ability to work effectively with a range of cross-functional teams and stakeholders such as product management, software engineering and design is needed.
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 Develops business requirements and plans, manages changes, and guides the team to achieve business strategy and objectives.
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 </ul>
 
 
 
 
 
 
 
 
 
 
 
 INTERESTED?
 
 
 
 
 
 
 If you are interested in working with us, we are waiting for your application! For information about recruitment processes and what awaits you at Etiya, you can review our candidate experience guide from the link. [https://www.etiya.com/file/3a2b9678-cdcf-4b17-bc46-616fa1fe8dd7/Etiya_Aday_Rehberi_TR.pdf]
 
 
 
 
 
 Applications will be reviewed and will be kept strictly confidential.
 
 
 You can find information about the processing of your personal data within the scope of privacy regulations such as PDPL and GDPR from the privacy policies on our website https://www.etiya.com/privacy
 
 
 
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Senior Specialist, Business Analysis

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