Statistiques Jobs

I want to turn our sales figures into a clear, interactive story in Power BI. Right now there is no central data source, so the first step will be helping me collect and structure the raw sales data—whether that means pulling CSV exports from our ecommerce platform, connecting to our CRM API, or setting up a small database that we can refresh automatically. Once the data is in place, you’ll handle the cleaning, transformation and modelling in Power Query and DAX, then design an engaging report that lets managers spot trends, compare product lines and track performance over time. I’m open to whichever mix of bar, line, pie or other visuals best conveys the insights, and I value your creative recommendations here. Deliverables I need from you: • A refreshable d...

Hi! I’m looking for a knowledgeable tutor to help me over the coming weeks with some advanced quantitative and data-driven topics. What we will be working on: - Statistics & Regression: Hypothesis testing (one/two-sample), non-parametric tests, linear & logistic regression, and generalized linear models (GLMs). - Python Optimization: Formulating optimization models (Linear & Integer Programming) and solving them in Python using the PuLP library. - Simulation Methods: Monte Carlo simulation and basic discrete-event simulation concepts. What I'm looking for: - Online 1-on-1 support to go through problem sets, study materials, and practice exercises. - Help understanding complex math/statistical concepts step-by-step. skills: Statistics Python Mathematics Statis...

Quant Developer for a Crypto Trading Bot: Strategy Research and Development (Python, React/Node) About the project A working crypto trading bot with a web dashboard. It paper-trades 12 coins on exchange data (15m to 1D candles) and can trade real funds on Base through Uniswap, with every trade confirmed in MetaMask. It already has: 12 strategies (RSI, Bollinger, Supertrend, trend filter, momentum, whale-flow copy trading and more) backtesting with fees and slippage an optimizer that tunes on older data and tests on newer data it never saw Auto-pick, which chooses the strategy that held up on that unseen data What you'll do Research, build and test new trading strategies, and improve the existing ones. Prove each strategy holds up on data it wasn't tuned on (walk-forward testin...

I'm looking for an experienced researcher to conduct a systematic review focused on cardiovascular studies. The review should include both randomized controlled trials and observational studies, with a specific focus on mortality rates as the primary outcome measure. A meta-analysis component is also required. Key Requirements: - Comprehensive literature search and data extraction - Critical appraisal of included studies - Statistical analysis for meta-analysis - Detailed report writing Ideal Skills and Experience: - Expertise in systematic reviews and meta-analysis - Strong background in cardiovascular research - Proficiency in statistical software (e.g., RevMan, STATA) - Excellent writing skills for academic publications Please provide samples of previous work and relevant qualif...

I have a sizeable set of customer data and I want to turn it into clear, actionable insight that will directly improve our customers’ experience when they contact support. Your task is to take this raw information, clean it, explore it and surface the patterns that show where our service interactions delight—or frustrate—people. I am interested solely in customer-related records; sales figures and survey metrics outside that scope are not part of this engagement. The end goal is a concise narrative that tells us how to raise satisfaction levels, cut response times and pinpoint any pain-points hidden in the current workflow. To keep things focused, I will need: • A brief outline of the preprocessing steps so the work is reproducible • Visualisations or dashbo...

I’m preparing a predictive analytics initiative for a finance-focused dataset stored in traditional relational tables and well-formatted spreadsheets. The core objective is to turn this structured historical information into forward-looking insights—think probability scores for default, churn, or other key risk and revenue indicators. You will take ownership of the full machine-learning pipeline: data ingestion from CSV/SQL sources, exploratory analysis, feature engineering, model selection and training, validation, and a concise performance report. I expect reproducible Python code (preferably using pandas, scikit-learn, XGBoost or similar), clear comments, and a short write-up that explains both the methodology and how to refresh the model with new data. Deliverables: &bull...

I need an analysis comparing youth sports participation and delinquency using Add Health data. The focus should be on understanding how engaging in sports might correlate with or impact delinquent behaviors. Key Requirements: - Analyze correlation between sports participation and delinquent behaviors such as substance use, violent behavior, or property crimes. - Use appropriate statistical methods (e.g., regression analysis, correlation analysis, ANOVA). - Focus on specified youth age groups (pre-teens, teens, young adults). Ideal Skills and Experience: - Strong background in statistics and data analysis. - Experience with Add Health dataset or similar. - Proficiency in statistical software (e.g., R, SPSS, Stata). - Ability to interpret and present findings clearly.

I need an experienced freelancer to run our new Instagram account with the primary goal of increasing followers, engagement, and promoting the product. We’re a performance supplement brand for women over 40 who take their training seriously: runners, lifters, CrossFitters, and triathletes. Perimenopause is quietly undoing their recovery, and we help them get it back. If you train yourself, you’ll get our audience straight away. What you’ll do: - Plan and post 3–4 pieces a week: Reels, carousels, and Stories - Write hooks and captions - Spot trends and formats that fit the brand, and skip the ones that don’t - Reply to comments and DMs during US hours, and build a real community of engaged followers - Send a short monthly report on what’s working and wh...

I'm seeking an expert to analyze over-the-counter (OTC) stock options for profit forecasting. The analysis should focus on the following key metrics: - Volatility - Strike price - Expiration date Ideal skills and experience: - Strong background in options trading, particularly OTC options - Proficient in financial modeling and profit forecasting - Experience analyzing market volatility and its impact on options - Ability to provide clear, actionable insights based on data analysis Please include any relevant work experience in your bids.

I’m preparing a new project that calls for a seasoned eye on my raw data. The exact format of the files may range from neatly structured spreadsheets to more free-form text exports, so I’ll need someone comfortable pulling insights no matter how the information arrives.

Daily transport in my own luxury car—plus the occasional pick-up of dry cleaning, parcels, and other household errands—sits at the core of this assignment. The schedule is generally weekday daylight hours, yet flexibility for an early morning or late-afternoon run will help everything flow smoothly. Safe, smooth driving is essential. A spotless record, familiarity with city traffic patterns, and a calm, discreet manner around family and guests all matter just as much as punctuality. Because errand stops are part of the routine, efficiency in planning short routes and parking is highly valued. Key expectations • Drive the designated luxury vehicle with care and keep it immaculate inside and out • Handle requested errands quickly and return receipts or parcels the...

I am advancing a research project that spans mathematics, physics and closely-related disciplines and now need a senior domain expert, ideally at PhD level or beyond, to push the R&D forward. Your primary focus will be the research and development phase itself: defining the right theoretical framework, exploring cutting-edge methods, and turning those insights into a solid, publishable body of work. Here’s what I’ll count on you for: • Pinpointing current gaps in the literature and mapping how our project can fill them. • Proposing and refining models, proofs or experimental approaches that withstand peer review. • Translating complex results into clear, well-structured documentation ready for journal submission or grant proposals. While the core area i...

I have a stack of completed paper-based surveys that first need to be digitised and then explored through solid statistical analysis. Your task begins with accurately keying every response from the paper forms into a clean, well-structured spreadsheet (Excel or CSV, whichever you prefer). Once the dataset is ready, I want to move straight into statistical analysis—means, medians, standard deviations, cross-tabs, significance testing where appropriate—so I can confidently report on the findings. I will consider the job complete when I receive: • A fully validated digital dataset that mirrors the original paper responses • A concise statistical report (tables, clear commentary, and any supporting charts) delivered in PDF or an editable format • The working fil...

I’m looking for a patient, knowledgeable tutor who can work with me one-on-one to strengthen my high-school-level Algebra skills. My goals are straightforward: clarify the concepts I’m still unsure about, walk through problem-solving strategies step by step, and leave each session with practice questions I can tackle on my own. We’ll meet online, so please be comfortable using a screen-sharing whiteboard (Zoom, Google Meet, or a similar tool) and be ready to explain topics such as linear equations, factoring, quadratic functions, and systems of equations in clear, bite-sized language. If you have digital resources, interactive worksheets, or custom exercises, even better—share them during or after class so I can review between sessions. Proposed deliverables: &bu...

I need my raw data transferred with 100 % accuracy into either SPSS or Stata, checked for consistency, and then summarised visually. Once the entries are validated, please generate clear, publication-ready charts and graphs in Microsoft Excel that highlight the principal descriptive statistics. Deliverables • A cleaned and fully labelled .sav or .dta file • An Excel workbook containing the charts/graphs (with underlying data tables) • A brief log of any anomalies or assumptions made during entry and validation I will supply scanned questionnaires and existing digital files. I’ll be on hand to clarify variable names, coding frames, or specific chart requirements, and I expect all shared files to remain confidential. Accuracy and an eye for detail are essenti...

I’d like a crisp, recruiter-friendly LinkedIn “About” section that distills my CV into a short, formal narrative. The piece should spotlight my 5 + years in FP&A and accounting, placing particular emphasis on my budgeting and forecasting achievements while still signalling solid capability in financial reporting, reconciliations, and real-estate finance. Please weave in my hands-on expertise with Power BI, SQL, and Advanced Excel so those keywords surface naturally for both human readers and algorithmic searches. The tone must stay formal—think concise, confident, and metrics-oriented—without slipping into buzzwords or jargon overload. Deliverable • One LinkedIn summary of roughly 80–120 words that is ready to paste directly into my profil...

I’m gearing up for an economic project centered entirely on research. At this stage I need a specialist who can take the lead from framing clear research questions through to delivering a polished report that’s ready for stakeholders. The exact analytical angle is intentionally open—whether the study ends up leaning on qualitative interviews, quantitative datasets, or a mixed-methods blend will depend on the approach you recommend once the brief is fully explored. Please be comfortable with sourcing reputable economic data, applying appropriate statistical or thematic techniques, and translating findings into concise, decision-ready insights. Deliverables I expect: • A brief research plan outlining data sources, methodology, and timeline • Clean, we...

I need a license-plate recognition engine that can reliably read Qatar, UAE, and Saudi Arabia plates when they appear in either still images or live video streams. High accuracy is non-negotiable—I am targeting production-level performance suitable for enforcement and analytics, so false positives must be minimal and confidence scores exposed. To succeed you will design, train, and package a full ANPR pipeline that: • detects the plate region in diverse lighting and angles, • recognises Arabic and Latin characters as well as the specific colour codes and icons used across the three countries, and • delivers results fast enough for real-time video (traffic-camera frame rates) while also accepting batch image inputs. Please outline your preferred tech stack (Open...

I have a dataset that captures our customers’ interactions, purchases, and demographics, and I need a clear, well-documented analysis that turns those raw numbers into actionable insights. Your task is to explore the customer data, surface the key patterns, and explain what they mean for marketing, retention, and product decisions. The scope includes: • Cleaning and preparing the raw files (likely CSV exports from our CRM) • Running descriptive and exploratory analyses to uncover trends, anomalies, and correlations • Producing a concise written summary that highlights the most impactful findings and recommended next steps • Creating intuitive visualizations—feel free to suggest the best format, whether that ends up being charts, a compact dashboar...

I’m working with a raw financial dataset and I need it taken from “messy” to “decision-ready.” The core goal is to surface meaningful trends, so every step—from preparation through visualization—must support that objective. You’ll start by importing the data into Excel or a SQL environment and normalizing the fields so they’re analysis-ready. Once the structure is consistent, feel free to apply Python (Pandas, NumPy, matplotlib/seaborn) for deeper profiling and any additional quality checks you find useful. When the numbers line up, shift the focus to insight generation: uncover the key trend lines, seasonality patterns, or shifts that matter to stakeholders. The polished story should appear in Power BI: an interactive dashboard with ...