Sciative Solutions : Careers

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Job Responsibilities:

  • Understand client’s business needs, and design solutions to address the same
  • Interact with different stakeholders at client side, and subject matter experts at Sciative Solutions to formulate an approach for addressing client’s needs
  • Prepare project plans, identify milestones, and ensure that timelines and deliverables are being met or bettered (Travel may be required)
  • Carry out scenario planning, risk assessment and business (revenue) projections to provide a comprehensive assessment to clients
  • Identify data requirements and use Excel and/or statistical packages to build descriptive, explanatory, predictive and prescriptive models that deliver actionable insights
  • Prepare presentations, solution documents and data files as required
  • Prepare case studies and white papers to demonstrate how Sciative Solutions delivers superior value to clients businesses

Qualification and Experience:

  • Qualification: MBA / MS in Engineering, Business, Statistics, Mathematics, Economics or related field
  • 0 - 3 years of demonstrated hands-on experience (4+ years for Sr. Business Consultant) in identifying and applying data driven approaches to solve business problems
  • Demonstrated hands-on experience of formulating a problem statement, preparing a project plan, and developing and delivering solutions
  • Business acumen, and proficiency in analysing and synthesizing data
  • Experience in Statistical techniques such as linear and logistic regression, clustering, segmentation, time series, forecasting,
  • High degree of proficiency in Excel, and one of the following: R, SAS, SPSS

Job Responsibilities:

  • Be part of a high performing team of software solution developers, and collaboratively work on developing price optimization, prescriptive analytics and big data analytics solutions.
  • Facilitate solution efficiencies, scalability and technology leadership.
  • Ensure product robustness through unit tests and other quality control measures.
  • Follow an agile development process, and enable rapid solutioning to business challenges.
  • Take inputs from clients and constantly strive to improve solutions.

Qualification and Experience:

  • Qualification: BTech / BE / BS / MTech / ME / MS in Computer Science/Engineering, or related field
  • Fresher - 3 years experience (4+ years for Sr. SDE)
  • Expertise in Python or other scripting language is a must
  • Strong in algorithm design, database programming, and text analytics
  • End to end knowledge of enterprise software design and development
  • Knowledge of NoSQL and Big Data technologies like Apache Spark, Hadoop stack, and Python data science stack is a plus

Job Responsibilities:

  • Understand client’s business needs, and design solutions to address the same
  • Evaluate different statistical, machine learning, and data science techniques to identify the ones that delivers maximum value to clients at a reasonable effort
  • Identify data requirements for solving business problems, and use appropriate packages and tools to build predictive and prescriptive model that deliver actionable insights
  • Lead client and project engagements and ensure that timelines and deliverables are being met or bettered (Travel may be required)
  • Develop and implement analytical / statistical methodologies, and learn and apply new statistical analysis and big data tools
  • Provide thought leadership and solutions, but not limited to: Fraud Detection, Yield Management, Customer Segmentation, Assortment Optimization, Affinity Modelling, Survival Analytics, Response Prediction, Personalization Recommendations, Channel Attribution,  Marketing Mix Optimization
  • Prepare case studies and white papers, and deliver seminars and workshops to demonstrate the scientific leadership of Sciative Solutions and how it delivers value to clients businesses

Qualification and Experience:

  • Qualification: MS / PhD in Statistics, Economics, Mathematics, Computer Science, or related field
  • 0 - 3 years of demonstrated hands-on experience (4+ years for Sr. Big Data Analyst) designing and applying ML/statistical techniques to solving complex business problems at scale
  • Demonstrated experience of formulating a problem statement and implementing analytical solutions by understanding available data and functional requirements
  • High proficiency in design of algorithms, design of experiments
  • Experience in Machine Learning, Statistics, Operations Research techniques
  • Proficiency in at least one of MlLib, R or Python’s data science stack
  • High Proficiency in relational databases, data management concepts and SQL scripting
  • Experience in Spark preferred (but not essential)

Job Responsibilities:

  • Be part of a high performing team of analytics subject matter experts, business consultants and software developers, and collaboratively work on developing price optimization, prescriptive analytics and big data analytics solutions.
  • Lead all development activities related to our flagship price optimization engine.
  • Interface with clients and enhance price optimization product platform to meet specific business challenges
  • Facilitate solution efficiencies, scalability and technology leadership.
  • Follow an agile development process, and enable rapid solutioning to business challenges.
  • Take inputs from clients and constantly strive to improve solutions.

 

Qualification and Experience:

  • Passion for software development is a MUST
  • Qualification: BTech / BE / BS / MTech / ME / MS in Computer Science/Engineering, or related field
  • Min 5 years work experience
  • Expertise required in Python and Django, or PHP, Javascript and JQuery
  • Strong in algorithm design, database programming, and text analytics
  • End to end knowledge of enterprise software design and development
  • Knowledge of NoSQL and Big Data technologies like Apache Spark, Hadoop stack, and Python data science stack is a plus, but not essential