263 Hypothesis Testing Jobs - Page 11

Key skills : Agentic AI , ML Frameworks(TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX)

The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manger Roles and responsibilities: Understand business problem and requirements by building domain knowledge and translate to logical analytics problem. Conceptualize and design innovative solution by applying design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently address the end need. Prototype and experiment the solution to successfully demonstrate the value. Execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall digital analytics capability for eClerx through support in client delivery, pilots, pre sales pitches, product development and practice development. Technical and Functional Skills: Bachelor Degree in Computer Science with 7 to 10 years of experience in Data Analytics. Strong knowledge of Statistics, Data Analysis & Hypothesis testing along with Business Analytics background to support consulting assignments. Visualization and story-telling using Power BI, PowerPoint. Data wrangling using Python, SQL. Documentation using Word/ PowerPoint. Working knowledge of Excel, Pivot Tables, Formulas is must have. Good to have skills - Data Science/ RPA/ Automation using VBA, Excel macros. Exposure to Machine Learning algorithms is an added advantage.

Role Overview: As part of our Investment Banking - Quality transformation team, you will be working with our key operation stakeholders to transform processes and controls that build capacity and scale. The leader must demonstrate an ability to anticipate, understand, and act on evolving stakeholder & business needs, both stated and unstated. Through this, he/she must create a customer-centric organisation and use innovative thinking frameworks to identify high impact improvement opportunities & value-added solutions. With the right balance of Innovative initiatives, continuous improvement and governance, the leader must help in overachieve delivery standards set by the client and eClerx by leveraging the knowledge of market drivers and competition to effectively anticipate trends and opportunities. Associate Program Manager Roles and responsibilities: Working with senior business/Client stakeholders in structured way to identify business/process transformation opportunities & build project book of work Working closely with business processes & stakeholders to understand improvement opportunities, create business case, convert to projects & implement with quantified business outcomes Identification, Initiating & implementing high impact business transformation projects leveraging domain + Quality + technology knowledge Strong stakeholder management skills to identify stakeholder need, align improvement projects/initiatives in line with stakeholder need along with strong execution & governance till project closure Regular governance with key stakeholders on project progress via daily/weekly/monthly meetings Understanding & implementation experience of LEAN Six Sigma methodologies like DMAIC, DMADV (Six sigma black belt certified), Lean / Six sigma project management, TQM In depth Process & Risk Audits with working knowledge of risk frameworks Execute and lead key projects delivering tangible results for the business RPA/ AI/ML & Business Analytics background to identify & support improvement opportunities. Working knowledge of same would be added advantage knowledge of Statistics, Data Analysis & Hypothesis testing He/She should have strong capabilities in PowerPoint, MS Word and MS Excel and should be able to build domain expertise within team and lead from the front with the ability to work under pressure & handle multiple priorities. Technical Skills: Graduation (Bcom, BBA, BBM, BCA) / Post Graduation (Mcom, MBA, PGDM) with 12+ years of work experience. Conceptualize, design and deliver high-quality solutions and insightful analysis on a variety of projects ranging in both complexity and scope Delivery of productivity gains, Risk elimination and identify and implement process improvements. Possess strategic perspective, business acumen, action orientation and drive for results. Ability to present and lead senior stakeholders meetings Willingness to continuously learn, upgrade skills and stay relevant to business demands

Description: Data Engineer Requirements: Extensive hands-on experience in developing and deploying machine learning and statistical models in production environments Strong experience in end-to-end ML pipeline implementation including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring Proficient in working with large-scale structured and unstructured data across multiple sources for exploratory and predictive analytics Experience with big data tools and platforms (On-Prem or Cloud) for scalable model training and data processing (e.g., Spark, Databricks, Hadoop) Deep understanding of supervised, unsupervised, and reinforcement learning algorithms with practical application in real-world use cases Strong expertise in programming languages such as Python and R for data analysis, visualization, and model development Good understanding of MLOps concepts including model versioning, model governance, and continuous integration/deployment of ML models Experience using cloud platforms (AWS, Azure, GCP) and associated ML tools and services such as SageMaker, Azure ML, Vertex AI Solid knowledge of statistical testing, A/B testing, hypothesis testing, and experimental design Familiar with data governance, data privacy, and compliance aspects of handling personal or sensitive data Experience with tools like Jupyter, MLFlow, TensorBoard, or equivalent for model tracking and experimentation Hands-on experience with data visualization tools such as Power BI, Tableau, or libraries like Matplotlib, Seaborn, Plotly Strong experience with SQL and NoSQL databases for data extraction, manipulation, and analysis Proven ability to translate complex business problems into data science solutions and present insights to non-technical stakeholders Experience in collaborating with cross-functional teams including Data Engineers, Product Owners, and Business Analysts Familiar with version control and source code management tools like Git or TFS Good exposure to Agile/Scrum methodologies and sprint-based delivery models Demonstrated mentorship and technical leadership in guiding junior data scientists or analysts Strong analytical, logical thinking, and quantitative skills Takes ownership of outcomes and delivers with accountability Effective communication skills with a keen ability to explain technical concepts to business users Quick learner, self-driven, and passionate about data and innovation Job Responsibilities: ML model development, data preprocessing, feature engineering, ML pipelines, big data tools (Spark, Databricks), supervised/unsupervised learning, Python/R, MLOps, cloud platforms (AWS SageMaker, Azure ML), statistical testing, A/B testing, data governance, data privacy, Jupyter, MLFlow, data visualization (Power BI, Tableau), SQL/NoSQL, problem-solving, cross-functional collaboration, Git/TFS, Agile/Scrum, mentorship, communication, ownership, quick learner, data-driven innovation What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can 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 and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Sr. Service Manager (Process Excellence-Black Belt) for Gurgaon We are looking for a person who has prior experience of mentoring & doing Green Belt /Black Belt Six Sigma Project. Knowledge of IT Side of business-who is aware of Agile, RPA or Dev Ops along with Quality domain expertise. DMAIC Methodology, Hypothesis testing, RCA, QC tools, FMEA, MINITAB, Continuous improvement, Process improvement, Lean Six Sigma Job Location : Gurgaon Exp : 8-12 Years 05 Days week (Both side transport) Black Belt Certified Senior Service Manager (Certified Black Belt- Business Excellence-Quality) The Ops & Quality Sr. Service Manager supports aligned BU business partners in effectively managing and improving operational performance & in meeting their productivity goals through a culture of continuous improvement. High Level Responsibility area Facilitates / Leads improvement projects based on Lean / Six Sigma methodology. Provides analytics support to Business Leaders both onshore and offshore. Drives a continuous improvement culture Manages the innovation/ idea generation platform MERCURI Facilitates Process Improvement trainings Supports the business with Quality/Operational excellence initiatives. Responsibilities: Understand business processes, analyze data trends and share recommendations with stakeholders Showcase / share skill set & Quality service offerings with stake holders Analyze data on key client operational metrics to understand opportunity for improvement Learn and understand the domain / business to help define process metrics Map processes to identify non-core activities and suggest alternatives and thus help remove waste Facilitate / lead brainstorming sessions in a structured problem solving approach to identify improvement areas, support in measuring improvements and quantification of savings Actively listen and understand stakeholder expectations and requirements to support them in meeting their business objectives Be flexible to changes & continuously evaluate to adapt to the culture of the organization Understand and own development needs in consultation with the manager and work to achieve development goals Liaison with North America Ops & quality counterparts and other stakeholders to drive collaboration and team work Deliver Lean trainings for Band 3-5 colleagues Deliver need based trainings on Problem solving, Quality concepts & tools Mentors colleagues within the Business Unit on client knowledge / Process knowledge / Tools knowledge Identify Failure modes and help in establishing process controls Design and develop metrics for accurate measurement of work performance Baseline metrics and monitor performance Provide advance data Analytics as per Business Unit / Process requirements Identity opportunities for capacity creation Facilitate / lead capacity creating projects in alignment with the productivity goals of stakeholders Support business to create year on year efficiencies Support transition of new processes, Map processes, create metrics, and consult the business on setup and design of Quality Assurance processes Use Six Sigma and Lean tools as required Facilitate / Lead projects on Quality and operational excellence using Six Sigma / Lean / Project Management methodologies Develop project roadmaps for assigned projects with minimal or no mentoring support Acts as a program manager for BU specific or division level programs Education: Graduate in any stream Black belt certified Required Experience 8+ years of work experience Total work experience of 5 years or more (after Graduation in any discipline) Relevant / industry work experience of 5 years or more Maximum experience should not exceed 10 years. Hands on experience of mentoring and doing Green Belt /Black Belt Six Sigma Project Experienced in managing multiple project teams simultaneously Note : Interested candidates can share their CV's directly at Sandeep.sharma72@wipro.com with the subject line Sr. Service Manager (Process Excellence-Black Belt) for Gurgaon.

What you’ll do : Write complex SQL queries for data extraction, perform exploratory data analysis (EDA) to uncover insights. Strong proficiency in Python and Py Spark for scalable data processing and analytics. Create, transform, and optimize features to enhance model performance. Train, evaluate, and maintain machine learning models in production. Write efficient, maintainable, and version-controlled code that handles large datasets. Regularly update internal teams and clients on project progress, results, and insights. Conduct hypothesis testing and experiment analysis to drive data-driven decisions using AB testing. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Automate operations pipeline which runs on regular intervals to update required datasets. What You’ll Bring: A master’s or bachelor’s degree in computer science or a related field from a top university. 4+ years of hands-on experience in Machine Learning (ML) or Data Science with a focus on building scalable solutions. Strong programming expertise in Python and PySpark is must. Proven ability to write highly optimized SQL queries for efficient data extraction and transformation. Experience in feature engineering, inferencing pipelines, and real-time model prediction deployment. Strong fundamentals in applied statistics , with expertise in A/B test design and hypothesis testing. Solid understanding of distributed computing systems and hands-on experience with at least one cloud platform (GCP, AWS, or Azure) Additional Skills Understanding of Git, DevOps, CI / CD, data security, experience in designing on cloud platform. Experienced in automating operations using job scheduler like Airflow Experience in data engineering in Big Data systems

What you’ll do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

About the Digital Business Unit at IndusInd: The mandate of the Digital Business Unit at IndusInd Bank is as follows: Building customer centric products with human centered design principles for retail Individual and micro, small and medium enterprise (MSME) customer segments Build innovative products and propositions backed with problem solving mindset to discover and solve latent needs of customers Build Embedded Finance (Banking as a Service) applications Ensure designs are highly available, highly modular, highly scalable and highly secure Drive digital business Some of the applications managed by the Digital Business Unit include IndusMobile (banks mobile app for retail individual clients), Indusnet (net banking application of the bank), IndusMerchantSolutions app, Whatsapp Banking, Chatbots, easycredit for Individuals, easycredit for Business Owners, savings, current account and fixed deposit online platforms. There are many more innovative digital products and solutions in pipeline. The units objectives are three fold - (a) Drive better customer experience and engagement (b) transform existing lines of businesses and (c) build new digital only or banking as a service led digital business models. About the Role: You would be part of asset analytics and data science team and work on cutting edge problems for the bank. The individual will work closely with the stakeholders across risk, business, partnerships, digital and strategy in creating and refining strategies to augment profitability and growth for the bank. The incumbent will majorly be responsible with coming up data driven and actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams. Job Responsibilities: Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding. Well versed with necessary data reprocessing and feature engineering skills. Strong background in Statistical Analysis. Constantly look and research on ML algorithms and data sources for better prediction Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes. Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy. Experience in establishing/scaling up data science functions Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time Help define pricing models for digital value propositions for various segments of users / clients to ensure profitability of the portfolio and to ensure achievement of business outcomes Work with product, growth, and marketing teams across product/campaign lifecycle Empower product and marketing teams by creating automated dashboards and reports using PowerBI Education, Work Experience, Key Skill Set Requirements: BE / B-Tech/M.E./M.Tech/MBA/PGDBM from Tier 1/Tier 2 colleges 2-4 years of Data Science experience preferably in Banking/ Financial Services Model development experience in Python Strong and in-depth understanding of statistics Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems Excellent written and verbal communication Ability to build & use relationships and influence broadly across the organization Results driven with strong project management skills, ability to work on multiple priorities Handling Big Data, Segmentation, Analytics, Machine Learning, Artificial Intelligence, Statistics and Hypothesis Testing

Get to Know the Team The Integrity team is dedicated to safeguarding our users on Grab. We use our datasets to address multiple challenges, from ensuring safety to preventing fraud. We are involved in the entire data lifecycle, including analysing user behaviour and product funnels, identifying anomalies, and developing detection and prevention modules for suspicious activities. If youre enthusiastic about solving complex problems that have a direct, real-world impact, wed love to have you on board! Get to Know the Role Reporting to the Senior Analytics Manager in the Integrity team (Trust, Identity & Safety), you will help analyse data to understand user behaviours, product funnels and identify potential risks on our platform. Your insights will guide strategies to safeguard our diverse user base from multiple types of fraud and risk. This role is onsite based in Bangalore. The Critical Tasks You Will Perform Be a subject matter expert in using data to analyse business/product performance across different markets and business lines. Lead the identification of business/product issues and opportunities, uncovering insights and pinpointing growth areas, developing data-driven rules and strategies to address potential risks. Collaborate with product and engineering teams to design and analyze experiments that guide key product decisions. Conduct statistical analyses to ensure detection systems align with industry standards, refining policies, strategies, and controls. Lead expert teams in rolling out products/services and expanding the data universe for richer insights and enhanced decision-making. Develop dashboards for all stakeholders to provide visibility of important metrics, patterns and detection efficiency Collaborate across teams to address risks associated with Grabs products, processes, and payment methods, serving as a strategic partner in risk management decisions. Read more Skills you need The Essential Skills You Will Need 3+ years of experience in data-related or quantitative fields, within the e-commerce or internet industries. A bachelors degree in disciplines such as Analytics, Statistics, Software, Mathematics, Economics, Computer Science, or Engineering. Proficiency in SQL, Presto, ETL, Power BI, Tableau, Python, and Excel (can perform complex functions) . Experience with the application of experimentation and statistical techniques (such as hypothesis testing, probability distributions, regression, decision trees). Knowledge of data models, data mining, and segmentation techniques, coupled to learn independently and manage effectively in a vibrant environment. Understanding of the risk management space in digital ecosystems. Proficiency in Gen AI/LLMs. Read more What we offer Read more Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges. What we stand for at Grab #LI-DNI Read more

What does a successful Specialist, Statistical Analysis do at Fiserv Fiserv is looking for a talented specialist who plays a crucial role in an organization by leveraging their skills and expertise to extract valuable insights from data, enabling data-driven decision-making and contributing to the organizations success. Using product knowledge, subject matter expertise and technical skills, you will provide the highest level of service to resolve the client/customers issues. What you will do: Drive new business engagements with clients and grow existing client engagements. Liaison with the client to understand business problem, processes, and implementation challenge. Leverage data to analyze the business unit function, identify the business drivers and recommend strategy and future course of actions. Manage end to end delivery including requirement gathering, solution design and business recommendation. Work closely with statisticians to develop solution framework - Identify statistical techniques, implementation mechanism, tracking campaigns and pilots. Conceptualize modeling framework, define data requirement, create predictive variables and co-ordinate model implementation with other business partners, and create experimental designs to understand drivers of business performance. Should have domain expertise in the banking and risk domain to shape the solution framework and developing business strategies to drive incremental value to the business. Should have expertise in advanced statistical techniques to validate the model outcomes generated by the statisticians and align it with the business needs and implementation plan. Develop analytics proof of concepts on emerging trends in banking areas to develop new analytical products for Fiserv. Collaborate with the model development team to provide feedback and recommendations for model improvements based on validation results. Communicate validation findings and recommendations to stakeholders in a clear and concise manner, both verbally and through written reports or presentations. What you will need to have: Bachelor s degree in Statistics/mathematics or equivalent qualification. 5-8 years of experience in solving business problems by applying advanced statistics. Expertise in developing business presentations. Strong analytical and problem-solving skills. Excellent communication skills, both verbal and written. What would be great to have: Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding hypothesis testing, and validation methodologies. Experience with data manipulation, feature engineering, and data preprocessing techniques. Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively. Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.

Your Role The Data Analyst will be a key member of our team, responsible for translating raw data into actionable insights that power AI-driven solutions. This role bridges analytics and AI by preparing, analyzing, and visualizing data to support machine learning models, business intelligence, and decision-making processes. What You ll Be Doing Clean, transform, and prepare large structured and unstructured datasets for AI and analytics workflows. Conduct exploratory data analysis (EDA) to identify patterns, correlations, and anomalies. Perform statistical analyses and hypothesis testing to validate business and AI assumptions. Collaborate with Data Scientists to design feature engineering workflows for machine learning models. Build interactive dashboards and data visualizations (Power BI, Tableau) to communicate insights to stakeholders. Monitor and track key performance metrics for AI models and data-driven projects. What We d Love To See 2-5 years of hands-on experience in data analysis, business intelligence, or applied analytics. Proficiency in SQL and data manipulation using Python (Pandas, NumPy, Matplotlib/Seaborn). Strong knowledge of statistical methods, data experimentation, and hypothesis testing. Experience with BI tools like Power BI or Tableau for dashboard/report creation. Familiarity with Jupyter or Google Colab notebooks for analysis workflows. It d Be Great If You Had Exposure to A/B testing and defining measurable KPIs for AI/ML initiatives. Understanding of basic machine learning processes and model evaluation metrics. Experience working with cloud data platforms (AWS, Azure, or GCP). What You Can Expect Opportunity to work with a diverse and well-experienced team. To be part of the team who creates phenomenal growth stories for worlds renowned brands. Professional Growth Roadmap. Real-time mentorship and guidance from the leaders. A workplace that invests in your career, cares for you and is fun & engaging. You can be yourself and do amazing work.

Easyship is revolutionizing logistics for eCommerce. With our all-in-one cloud based shipping software, businesses of all shapes and sizes have the tools needed to scale globally. At Easyship we believe in accelerating borderless commerce. We re proud that a diversity of small business owners, crowdfunding campaigns, and global brands trust Easyship as their gateway to the world.To learn more about us click here. Job Title: Pricing Analyst Reports to: Head of Pricing Location : Bengaluru (On-site) Job Purpose: We are seeking a talented and analytical Pricing analysts to join our team. In this role, you will be responsible for understanding our business processes through data analysis and leveraging that knowledge to drive business impact across our marketing, sales, and product teams. You will play a crucial role in helping teams make data-driven pricing decisions and improving our overall business performance. What you'll do: Understanding our business and its processes through our data Applying this understanding and knowledge of data to help our marketing, sales and product teams drive business impact Assisting teams with answering questions with data through: Working with stakeholders to clarify and understand the potential problems at hand and business objectives they re looking to achieve Extracting relevant data points from our various data sets Analyzing and identifying statistically significant trends or insights that could help drive improvements Preparing and communicating your findings which best help users most easily understand the findings Build reporting and visualizations that allow teams to monitor key KPIs and objectives Create and manage documentation on projects, recurring tasks and findings. Build a library of internal knowledge. Who you are: 2 years experience as a data/business analyst or similar working with sizable data sets Solid knowledge of undergraduate statistics: distributions, uncertainty, biases, hypothesis testing, etc Highly proficient in Excel/Google Sheets Proven ability to communicate findings visually with BI tools such as Looker, Tableau or similar Highly organized with the ability to work independently Basic-to-Intermediate SQL knowledge SaaS Experience Analytical What you ll get: Competitive Equity Package : Earn more than just a competitive salary. Receive equity shares to gain wealth as the company grows. Gym & Wellness Reimbursement: Training for a big race? Don t sweat it. We offer gym reimbursement for all employees. Generous Vacation Policy: We think time off is essential and we encourage it! Duvet Day: Perfect for those cold winter days, when you don t want to escape the warmth of your bed! Mental Health Day : You deserve a day off! A chance to recharge and enjoy Me Time 4 weeks of Work from Anywhere : Whether you re working from the beautiful beaches in the Bahamas or by the fireplace on your ski trip in Switzerland - just make sure to send us a picture! Professional Development: We re here to help you hit your career goals to help get you where you want to be. Company issued laptop: Who wants to work from their personal laptop? Let s keep work and personal life separate! Unlimited Coffee, Drinks & Healthy Snacks : Because we love spoiling our team! Flexible Working: We offer you an autonomous environment to perform at your highest level! Headquartered in London with offices in New York, Hong Kong, Bangalore, Singapore, Melbourne, Toronto, Bangalore and Taipei our team is global and growing. We encourage you to apply if a challenge excites you. Come and join the Easyship team! What its like to work at Easyship? Have a look below!

Responsibilities: Design data-driven solutions for business problems. Understand automotive domain specifics; consult experts when needed. Learn and work with vehicle IoT systems, especially the Telematics Control Unit. Build expertise in handling time-series data. Perform data cleaning, preparation, and ETL processes. Explore data to find insights, trends, and patterns; collaborate with domain experts to test hypotheses. Create and select meaningful features for modelling. Choose and apply suitable ML/DL algorithms; build training pipelines and optimize models. Validate models and use ensemble methods when beneficial. Visualize and report findings using graphs and summaries. Mentor junior data scientists and support their development. Essential: A minimum of 4 years of industry experience in data science. Proficiency in Python programming with experience in pandas , NumPy , matplotlib , and sklearn libraries. Competence in statistical analysis , including descriptive, inferential statistics, and hypothesis testing. Practical experience in mathematical modelling and a variety of machine learning techniques, such as: o Generalized Linear Models (GLM), Boosting Algorithms, Decision Trees, Neural Networks, Support Vector Machines (SVM), and Bayesian Methods. o Econometric analysis. o Deep Learning models including Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRUs). o Unsupervised learning algorithms and image classification using computer vision. Proven track record of successful model deployment. Desirable: Experience with accident simulation tools such as PC crash or OPENPass . Familiarity with time-series and IoT data analytics. Familiarity with LLMs Knowledge of automotive systems, vehicle fundamentals, and Controller Area Network (CAN) protocol.