:

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• Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner;
• Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information;
• Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings;
• Evaluate emerging datasets and technologies that may contribute to our analytical platform;
• Participate in development of select assets/accelerators that create scale;
• Contribute to thought leadership through research and publication support;
• Guide and mentor Associates on teams.

• PhD degree in Computer Science, Statistics or related discipline, and strong academic performance with analytic and quantitative coursework is required;
• In lieu of a PhD, 3-5 years of relevant post-collegiate work experience;
• Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.);
• Knowledge of programming (e.g. Java/Python/R);
• Exposure to tools/platforms (e.g. Hadoop eco system and database systems);
• Agile project planning and project management skills;
• Relevant domain knowledge preferred; (healthcare/transportation/hi-tech/insurance);
• Excellent oral and written communication skills;
• Strong attention to detail, with a research-focused mindset;
• Excellent critical thinking and problem solving skills;
• High motivation, good work ethic and maturity.

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Job Description:

If you are charged up by accomplishing targets and not by excuses, if you want to become an early

age leader, if you have it in yourself to turn the world upside down to achieve what you want to

achieve, if you want to be the one to tell yourself what to do instead of somebody else telling you

what to do, if you want a growth curve in your professional career with a slope whose third

derivative is positive, if you want to be a part of the journey of a home tech startup growing at

300% y-o-y, if unsolved problems keep you restless and sleepless, if you are an aspiring

entrepreneur, if you want to become a co-author in writing a chapter in the success saga of

zunpulse, then this role is meant for you.

We are looking for a Data Scientist who will support our IoT products, sales and marketing teams

with insights gained from analyzing data.

The ideal candidate will be adept at using large data sets to find opportunities for product and

process optimization and using models to test the effectiveness of different courses of action. They

must have strong experience using a variety of data analysis methods, using a variety of data tools,

building and implementing models, using/creating algorithms and creating/running simulations. They

must have a proven ability to build products for mobile apps. They must be comfortable working with

a wide range of functional teams. The right candidate will have a passion for discovering solutions

hidden in large data sets and working with a team to improve product outcomes.

Responsibilities

• Collaborate with cross-functional teams including but not limited to Engineering, Products,

Operations, Sales, Marketing, etc. to breakdown complex problems and recommend data

science products.

• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Use machine learning and analytical techniques to create scalable solutions for problems.
• Develop and deploy different ML models and algorithms On production data
• Establish scalable, efficient, automated processes for large scale data analyses, model

development, model validation and model implementation.

• Use predictive modeling to increase and optimize customer experiences, revenue generation,

ad targeting and other business outcomes

What do we need?

• Degree (B.Tech, MS, or equivalent) in Computer Science, Mathematics, Operational

Research, Statistics or Natural Sciences

• 1-3 years of work experience in data science and statistical modeling
• Strong problem-solving skills with an emphasis on product development.
• Strong Python skills is a MUST
• Experience working with and creating data architectures.

• Very good understanding of probability and statistics, analytical approach to problem solving,

and capability to think critically on a diverse array of problems

• Hands-on experience on statistical methods such as hypothesis testing, Markov laws, time

series analysis/ forecasting, etc.

• Very good understanding and hands on experience of building Machine Learning Algorithms

such as Logistic Regression, Bayesian Approach, Decision Trees, Support Vector Machines.

Tree ensembles etc

• Good presentation skills
• Understanding of advanced algorithms (i.e. Deep Learning, NLP) will be good to have
• Most importantly, an inquisitive mind, an ability for self-learning and abstraction along with a

risk appetite for experimentation and failure

Must have tech skills

• 6– 8 years of industry experience
• Strong knowledge of R
• Expertise creating high level visualizations
• Experience designing and implementing machine learning models and/or solutions.
• Excellent analytical, debugging and problem solving skills
• In addition to above, the person should be strong in one of the below tech stack (with reasonable knowledge about the other tech stack)
• OraclePL/SQL and able to write queries , stored procedures, Indexes , triggers
• Be able to work with large datasets with tool such as Apache Spark.
• Version control systems such as Git knowledge.

Any experience with the following will be considered added advantage

• ETL tools
• Docker and/or similar containerization tools.
• Agile development
• API development frameworks

Soft skills

• Organized and able to deliver in multiple projects in the stream
• Excellent communication and presentation skills
• Ability to work independently and in a team

Misc

• Passion for research, ideation and exploration
• Expertise with designing multi-clustered applications

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries (“Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View the “EEO is the Law” poster. View the EEO is the Law Supplement.

View the EEO Policy Statement.

View the Pay Transparency Posting

About Us

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognise that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can. We believe that everyone brings something different to the table – so we’d love to know what makes you different.

We are/have:

• Experts in banking and payments, capital markets and wealth and asset management
• Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc.
• Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture

Capco is looking for hardworking, innovative and creative people to join our team. Must possess strong relationship management skills and be able to manage requirements and testing across Ops and IT teams both cross-division and globally. Role is focused on projects to support the development of regulatory/industry driven changes.

Role Description

• This role provides regulatory data analytics using data from different geography. The primary responsibilities would be:
• Experience in data science
• Experience in marketing analytics is a plus
• Excellent analytical skills and commercial acumen
• Good understanding of the control requirements surrounding data handling
• Strong self-starter with strong change delivery skills who enjoys the challenge of delivering change within tight deadlines
• Strong verbal and written communication skills
• Ability to manage multiple priorities
• Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context
• Preferable knowledge and experience in Data Quality & Governance
• Can write SQL queries, Scala knowledge preferable and navigate data bases especially Hive, CMD, Putty, Note++
• Experience of using and flattening XML
• Experience of big data programmes preferable
• Enthusiastic and energetic problem solver to join an ambitious team
• Business analysis skills, defining and understanding requirements
• Attention to detail
• Good knowledge of SDLC and formal Agile processes, a bias towards TDD and a willingness to test products as part of the delivery cycle
• Ability to communicate effectively in a multi-programme environment across a range of stakeholders

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

We offer:

• A work culture focused on innovation and creating lasting value for our clients and employees
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
• A diverse, inclusive, meritocratic culture

Company Description

Merkle is a global data-driven, technology-enabled performance marketing agency. For over 30 years, Fortune 1,000 companies and leading nonprofit organizations have partnered with us to build and maximize the value of their customer portfolios. We work with world-class brands like Dell, T-Mobile, Samsung, GEICO, Regions, Kimberly-Clark, AARP, Lilly, Sanofi, NBC Universal, DIRECTV, American Cancer Society, Habitat for Humanity, and many others to build and execute customer-centric business strategies. With more than 9,000 smart, dedicated people in more than 50 offices around the world, we are still growing at a rate that outpaces the market.

At Merkle, we help brands make the people-based marketing transformation. Using a combination of first- and third-party data, we create, target, and measure the highly customized customer experiences that not only drive immediate results in the form of today’s response and conversion, but also build tomorrow’s increased loyalty and customer value. At the heart of these solutions is Merkle’s deep heritage in the data, analytics, and technology capabilities that enable them.

Our capabilities span people-based marketing disciplines: customer strategy, performance media, customer experience and personalization, customer relationship management, loyalty marketing, and enterprise technology services. This have cross functional teams with a lot of skills and understanding of multiple capabilities, UI/UX, Frontend, Backend, Scalability, Security, Performance, Databases, Caches, Microservices, DevOps, SOA, Integration Patterns, etc.

Merkle is a global data-driven, technology-enabled performance marketing agency. For over 30 years, Fortune 1,000 companies and leading nonprofit organizations have partnered with us to build and maximize the value of their customer portfolios. We work with world-class brands like Dell, T-Mobile, Samsung, GEICO, Regions, Kimberly-Clark, AARP, Lilly, Sanofi, NBC Universal, DIRECTV, American Cancer Society, Habitat for Humanity, and many others to build and execute customer-centric business strategies. With more than 9,000 smart, dedicated people in more than 50 offices around the world, we are still growing at a rate that outpaces the market.

At Merkle, we help brands make the people-based marketing transformation. Using a combination of first- and third-party data, we create, target, and measure the highly customized customer experiences that not only drive immediate results in the form of today’s response and conversion, but also build tomorrow’s increased loyalty and customer value. At the heart of these solutions is Merkle’s deep heritage in the data, analytics, and technology capabilities that enable them.

Our capabilities span people-based marketing disciplines: customer strategy, performance media, customer experience and personalization, customer relationship management, loyalty marketing, and enterprise technology services. This have cross functional teams with a lot of skills and understanding of multiple capabilities, UI/UX, Frontend, Backend, Scalability, Security, Performance, Databases, Caches, Microservices, DevOps, SOA, Integration Patterns, etc.

Job Description

• Perform advanced analytics tasks, including but not limited to predictive statistical models, customer profiling, segmentation analysis, data analysis and mining, and external data enhancement using SQL, SAS, R, Python or PySpark
• Extract and process large quantities of data from data warehouses and other data marts in support of assignments
• Assist in determining quantitative methods for solving client issuesAnalyze marketing metrics to identify cause-effect relationships between marketing levers and outcomes
• Turn complex data into practical and actionable marketing insights
• Consolidate and package up insights, analytic outputs, and action items into a well-organized, consumable package with actionable recommendations and strategies for marketers (MS Excel, PowerPoint, Word, etc.)
• Support development of efficient and accurate project management plans for project delivery

Qualifications

• 25 years of industry experience required
• Bachelors or Masters degree in Mathematics, Statistics, Economics, Finance, or Engineering required
• Strong experience in SQL programming required
• Statistical software: SAS, R, strongly preferred, Python, PySpark a plus
• Must have strong experience with statistical concepts and applying statistical techniques such as regression, naïve Bayes, decision trees, clustering, factor analysis, time series, random forest, gradient boosting algorithms, etc. to solve business problems
• Understanding of digital data including the systems and processes used to generate and manipulate it by media type (web, ad, email, mobile, etc.) a plus
• Web Analytics (Omniture, WebTrends, Google Analytics) experience a plus
• Experience in data visualization tools like Tableau a plus

Additional Information

At Merkle Sokrati, we don’t insist on any paid certification as a part of the hiring process.